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Advances in Brain Inspired Cognitive Systems : 13th International Conference, BICS 2023, Kuala Lumpur, Malaysia, August 5-6, 2023, Proceedings
| Advances in Brain Inspired Cognitive Systems : 13th International Conference, BICS 2023, Kuala Lumpur, Malaysia, August 5-6, 2023, Proceedings |
| Autore | Ren Jinchang |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore Pte. Limited, , 2024 |
| Descrizione fisica | 1 online resource (410 pages) |
| Altri autori (Persone) |
HussainAmir
LiaoIman Yi ChenRongjun HuangKaizhu ZhaoHuimin LiuXiaoyong MaPing MaulThomas |
| Collana | Lecture Notes in Computer Science Series |
| ISBN | 981-9714-17-6 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996601562603316 |
Ren Jinchang
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| Singapore : , : Springer Singapore Pte. Limited, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Advances in Brain Inspired Cognitive Systems : 13th International Conference, BICS 2023, Kuala Lumpur, Malaysia, August 5–6, 2023, Proceedings / / edited by Jinchang Ren, Amir Hussain, Iman Yi Liao, Rongjun Chen, Kaizhu Huang, Huimin Zhao, Xiaoyong Liu, Ping Ma, Thomas Maul
| Advances in Brain Inspired Cognitive Systems : 13th International Conference, BICS 2023, Kuala Lumpur, Malaysia, August 5–6, 2023, Proceedings / / edited by Jinchang Ren, Amir Hussain, Iman Yi Liao, Rongjun Chen, Kaizhu Huang, Huimin Zhao, Xiaoyong Liu, Ping Ma, Thomas Maul |
| Autore | Ren Jinchang |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (410 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
HussainAmir
LiaoIman Yi ChenRongjun HuangKaizhu ZhaoHuimin LiuXiaoyong MaPing MaulThomas |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Machine learning Computer science Logic, Symbolic and mathematical Social sciences - Data processing Computer simulation Artificial Intelligence Machine Learning Theory of Computation Mathematical Logic and Foundations Computer Application in Social and Behavioral Sciences Computer Modelling |
| ISBN | 981-9714-17-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Bio-inspired systems and Neural Computation -- Vision-Based Deep Q-Learning on Simple Control Problems: Stabilization via Neurogenesis Regularization -- Knowledge Representation for Conceptual, Motivational, and Affective Processes in Natural Language Communication -- GSA-UBS: A Novel Medical Hyperspectral Band Selection based on Gravitational Search Algorithm -- Enhancing generalizability of deep learning polyp segmentation using online spatial interpolation and hue transformation -- MLM-LSTM: Multi-layer Memory Learning Framework based on LSTM for Hyperspectral Change Detection -- A hierarchical geometry-to-semantic fusion GNN framework for earth surface anomalies detection -- Zero-shot incremental learning algorithm based on bi-alignment mechanism -- Cross-Modal Transformer GAN: A Brain Structure-Function Deep Fusing Framework for Alzheimer’s Disease -- Image Recognition, Detection and Classification Evaluation of post-hoc interpretability methods in breast cancer histopathological image classification -- Red Blood Cell Detection Using Improved Mask R-CNN -- Underwater Object Detection for Smooth and Autonomous Operations of Naval Missions: A Pilot Dataset -- RSF-SSD: An Improved SSD Algorithm Based on Multi-level Feature Enhancement -- GaitMG: A Multi-Grained Feature Aggregate Network for Gait Recognitio -- Saliency Detection on Graph Manifold Ranking via Multi-scale Segmentation -- Research on improved algorithm of significance object detection based on ATSA model -- UAV Cross-modal Image Registration: Large-scale Dataset and Transformer-based Approach -- Vision and Object Tracking -- How Challenging is a Challenge for SLAM? An Answer from Quantitative Visual Evaluation -- Generalized W-Net: Arbitrary-style Chinese Character Synthesization -- Blind Deblurring of QR Codes with Local Extremum Intensity Prior -- Image Enhancement for UAV Visual SLAM Applications: Analysis and Evaluation -- Segmentation Framework for Heat Loss Identification in Thermal Images: Empowering Scottish Retrofitting and Thermographic Survey Companies -- Mixed-Precision Collaborative Quantization for Fast Object Tracking -- Pre-Diagnosis for Autism Spectrum Disorder Using Eye-Tracking and Machine Learning Techniques -- HRMOT: Two-step association based Multi-object Tracking in Satellite Videos Enhanced by High-Resolution Feature Fusion -- Data Analysis and Machine Learning Application of manifold recognition target identification method in seismic exploration -- Effects of PCA-Enabled Machine Learning Classification of Stress and Resting State EEGs -- Fatigue Detection Algorithm Based On Discrete Wavelet Transform of EEG Signals -- Visual Sentiment Analysis with a VR Sentiment Dataset on Omni-directional Images -- Generating Type-related Instances and Metric Learning to Overcoming Language Priors in VQA Fusing Multi-scale Attention and Transformer for Detection and Localization of Image Splicing Forgery -- SAR Incremental Learning via Generative Adversarial Network and Experience Replay -- FaceReenactment Based on Motion Field Representation -- LWGSS: Light-Weight Green Spill Suppression for Green Screen Matting -- Visual-Textual Attention for Tree-Based Handwritten Mathematical Expression Recognition -- WildTechAlert: Deep learning models for real-time detection of elephant presence using bioacoustics in an early warning system to support human-elephant coexistence. |
| Record Nr. | UNINA-9910864191403321 |
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Ren Jinchang
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Brain Inspired Cognitive Systems [[electronic resource] ] : 10th International Conference, BICS 2019, Guangzhou, China, July 13–14, 2019, Proceedings / / edited by Jinchang Ren, Amir Hussain, Huimin Zhao, Kaizhu Huang, Jiangbin Zheng, Jun Cai, Rongjun Chen, Yinyin Xiao
| Advances in Brain Inspired Cognitive Systems [[electronic resource] ] : 10th International Conference, BICS 2019, Guangzhou, China, July 13–14, 2019, Proceedings / / edited by Jinchang Ren, Amir Hussain, Huimin Zhao, Kaizhu Huang, Jiangbin Zheng, Jun Cai, Rongjun Chen, Yinyin Xiao |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XVI, 595 p. 340 illus., 176 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Optical data processing Computers Pattern recognition Application software Artificial Intelligence Image Processing and Computer Vision Information Systems and Communication Service Pattern Recognition Computer Applications |
| ISBN | 3-030-39431-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Neural Computation -- Biologically Inspired Systems -- Image Recognition: Detection, Tracking and Classification -- Data Analysis and Natural Language Processing. |
| Record Nr. | UNISA-996418221403316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Advances in Brain Inspired Cognitive Systems : 10th International Conference, BICS 2019, Guangzhou, China, July 13–14, 2019, Proceedings / / edited by Jinchang Ren, Amir Hussain, Huimin Zhao, Kaizhu Huang, Jiangbin Zheng, Jun Cai, Rongjun Chen, Yinyin Xiao
| Advances in Brain Inspired Cognitive Systems : 10th International Conference, BICS 2019, Guangzhou, China, July 13–14, 2019, Proceedings / / edited by Jinchang Ren, Amir Hussain, Huimin Zhao, Kaizhu Huang, Jiangbin Zheng, Jun Cai, Rongjun Chen, Yinyin Xiao |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XVI, 595 p. 340 illus., 176 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Optical data processing Computers Pattern recognition Application software Artificial Intelligence Image Processing and Computer Vision Information Systems and Communication Service Pattern Recognition Computer Applications |
| ISBN | 3-030-39431-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Neural Computation -- Biologically Inspired Systems -- Image Recognition: Detection, Tracking and Classification -- Data Analysis and Natural Language Processing. |
| Record Nr. | UNINA-9910373928103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Deep Learning: Fundamentals, Theory and Applications / / edited by Kaizhu Huang, Amir Hussain, Qiu-Feng Wang, Rui Zhang
| Deep Learning: Fundamentals, Theory and Applications / / edited by Kaizhu Huang, Amir Hussain, Qiu-Feng Wang, Rui Zhang |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (VII, 163 p. 66 illus., 46 illus. in color.) |
| Disciplina |
610
006.31 |
| Collana | Cognitive Computation Trends |
| Soggetto topico |
Medicine
Artificial intelligence Algorithms Biomedicine, general Artificial Intelligence |
| ISBN | 3-030-06073-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- Introduction to Deep Density Models with Latent Variables -- Deep RNN Architecture: Design and Evaluation -- Deep Learning Based Handwritten Chinese Character and Text Recognition -- Deep Learning and Its Applications to Natural Language Processing -- Deep Learning for Natural Language Processing -- Oceanic Data Analysis with Deep Learning Models -- Index. |
| Record Nr. | UNINA-9910337950003321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Neural Information Processing [[electronic resource] ] : 21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part II / / edited by Chu Kiong Loo, Yap Keem Siah, Kok Wai Wong, Andrew Teoh Beng Jin, Kaizhu Huang
| Neural Information Processing [[electronic resource] ] : 21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part II / / edited by Chu Kiong Loo, Yap Keem Siah, Kok Wai Wong, Andrew Teoh Beng Jin, Kaizhu Huang |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (XVIII, 603 p. 80 illus.) |
| Disciplina | 004 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Pattern recognition systems
Computer vision Artificial intelligence Computer science Data mining Automated Pattern Recognition Computer Vision Artificial Intelligence Theory of Computation Data Mining and Knowledge Discovery |
| ISBN | 3-319-12640-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Kernel and Statistical Methods -- A New Ensemble Clustering Method based on Dempster-Shafer Evidence Theory and Gaussian Mixture Modeling -- Extraction of Dimension Reduced Features from Empirical Kernel Vector -- Method of Evolving Non-stationary Multiple Kernel Learning -- A kernel method to extract common features based on mutual information -- Properties of Text-Prompted Multistep Speaker Verification Using Gibbs-Distribution-Based Extended Bayesian Inference for Rejecting Unregistered Speakers -- Non-Monotonic Feature Selection for Regression -- Non-negative Matrix Factorization with Schatten p-norms Reguralization -- A New Energy Model for the Hidden Markov Random Fields -- Online nonlinear Granger causality detection by quantized kernel least mean square -- A Computational Model of Anti-Bayesian Sensory Integration in the Size-Weight Illusion -- Unsupervised Dimensionality Reduction for Gaussian Mixture Model -- Graph Kernels exploiting Weisfeiler-Lehman Graph Isomorphism Test Extensions -- Texture analysis based automated decision support System for classification of Skin Cancer using SA-SVM -- In-attention State Monitoring for a Driver Based On Head Pose and Eye Blinking Detection Using One Class Support Vector Machine -- An Improved Separating Hyperplane Method with Application to Embedded Intelligent Devices -- Fine-Grained Air Quality Monitoring Based on Gaussian Process Regression -- Retrieval of Experiments by Efficient Estimation of Marginal Likelihood -- Evolutionary Computation and Hybrid Intelligent Systems -- A New Approach of Diversity Enhanced Particle Swarm Optimization with Neighborhood Search and Adaptive Mutation -- Data Clustering Based on Particle Swarm Optimization with Neighborhood Search and Cauchy Mutation -- Accuracy Improvement of Localization and Mapping of ICP-SLAM Via Competitive Associative Nets and Leave-One-Out Cross-Validation -- Saliency Level Set Evolution -- Application of Cuckoo Search for Design Optimization of Heat Exchangers -- A Hybrid Method to Improve the Reduction of Ballistocardiogram Artifact from EEG Data -- VLGAAC: Variable Length Genetic Algorithm based Alternative Clustering -- Social Book Search with Pseudo-Relevance Feedback -- A Random Key Genetic Algorithm for Live Migration of Multiple Virtual Machines in Data Centers -- Collaboration of the Radial Basis ART and PSO in Multi-Solution Problems of the Henon Map -- Reconstructing Gene Regulatory Network with Enhanced Particle Swarm Optimization -- Neural Network Training by Hybrid Accelerated Cuckoo Particle Swarm Optimization Algorithm -- An Accelerated Particle Swarm Optimization Based Levenberg Marquardt Back Propagation Algorithm -- Fission-and-Recombination Particle Swarm Optimizers for Search of Multiple Solutions -- Fast Generalized Fuzzy C-means Using Particle Swarm Optimization for Image Segmentation -- Evolutionary Learning and Stability of Mixed-Rule Cellular Automata -- Pattern Recognition Techniques -- Radical-Enhanced Chinese Character Embedding -- Conditional Multidimensional Parameter Identification with Asymmetric Correlated Losses of Estimation Errors -- Short Text Hashing Improved by Integrating Topic Features and Tags -- Synthetic test data generation for hierarchical graph clustering methods -- Optimal Landmark Selection for Nystrom Approximation -- Privacy Preserving Clustering: A k-Means Type Extension -- Stream Quantiles via Maximal Entropy Histograms -- A Unified Framework for Thermal Face Recognition -- Geometric Feature-based Facial Emotion Recognition using Two-Stage Fuzzy Reasoning Model -- Human Activity Recognition by Matching Curve Shapes -- Sentiment Analysis of Chinese Microblogs Based on Layered Features -- Feature group weighting and topological biclustering -- A Label Completion Approach to Crowd Approximation -- Multi-label Linear Discriminant Analysis with Locality Consistency -- Hashing for Financial Credit Risk Analysis -- MAP Inference with MRF by Graduated Non-Convexity and Concavity Procedure -- Two-Phase Approach to Link Prediction -- Properties of Direct Multi-Step Ahead Prediction of Chaotic Time Series and Out-of-Bag Estimate for Model Selection -- Multi-document Summarization based on Sentence Clustering -- An Ontology-based Approach to Query Suggestion Diversification -- Sensor Drift Compensation Using Fuzzy Interference System and Sparse-Grid Quadrature Filter in Blood Glucose Control -- Segmenting Webpage using Ontology and Word Matching for segments detection -- Continuity of Discrete-time Fuzzy Systems -- Sib-based Survival Selection Technique for Protein Structure Prediction in 3D-FCC lattice Model -- Tensor Completion based on Structural Information -- Document Versioning Using Feature Space Distances -- Separation and Classication of Crackles and Bronchial Breath sounds from Normal Breath Sounds Using Gaussian Mixture Model -- Combined Features for Face Recognition in Surveillance Conditions -- Sparse Coding on Multiple Manifold Data -- Mutual Information Estimation with Random Forests -- Out-of-vocabulary Words Recognition Based on Conditional Random Field in Electronic Commerce -- Least angle regression in orthogonal case -- Evaluation Protocol of Early Classifiers Over Multiple Data Sets -- Exploiting Level-Wise Category Links for Semantic Relatedness Computing -- Characteristic Prediction of A Varistor in Overvoltage Protection Application -- Optimizing Complex Building Renovation Process with Fuzzy Signature State Machines -- News classification with Auxiliary Long Texts -- Modelling Mediator Intervention in Joint Decision Making Processes Involving Mutual Empathic Understanding. |
| Record Nr. | UNISA-996213647003316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Neural Information Processing [[electronic resource] ] : 21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part I / / edited by Chu Kiong Loo, Yap Keem Siah, Kok Wai Wong, Andrew Teoh Beng Jin, Kaizhu Huang
| Neural Information Processing [[electronic resource] ] : 21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part I / / edited by Chu Kiong Loo, Yap Keem Siah, Kok Wai Wong, Andrew Teoh Beng Jin, Kaizhu Huang |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (XXXIV, 635 p. 258 illus.) |
| Disciplina | 006.32 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Pattern recognition systems
Computer vision Artificial intelligence Computer science Data mining Automated Pattern Recognition Computer Vision Artificial Intelligence Theory of Computation Data Mining and Knowledge Discovery |
| ISBN | 3-319-12637-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Cognitive Science.-Transfer Entropy and Information Flow Patterns in Functional Brain Networks during Cognitive Activity -- Human Implicit Intent Discrimination Using EEG and Eye Movement -- Towards Establishing Relationships Between Human Arousal level and Motion Mass -- Estimating Nonlinear Spatiotemporal Membrane Dynamics in Active Dendrites -- Inter Subject Correlation of Brain Activity during Visuo-Motor Sequence Learning -- An Agent Response System based on Mirror Neuron and Theory of Mind -- Dynamic of Nitric Oxide Diffusion in Volume Transmission: Model and Validation -- A Computational Model of the Relation Between Regulation of Negative Emotions and Mood -- Neural Networks and Learning Systems - Theory and Design -- Low-cost Representation for Restricted Boltzmann Machines -- Add-if-Silent Rule for Training Multi-layered Convolutional Network Neocognitron -- Posterior Distribution Learning (PDL): A Novel Supervised Learning Framework Including Unlabeled Samples Distribution into Decision -- Computational Model of Neocortical Learning Process: Prototype -- Active Learning with Maximum Density and Minimum Redundancy -- One-to-Many Association Ability of Chaotic Quaternionic Multidirectional Associative Memory -- An Entropy-guided Adaptive Co-construction Method of State and Action Spaces in Reinforcement Learning -- A Nodes Reduction Procedure for RBFNDDA through Histogram -- Toroidal approximate identity neural networks are universal approximators -- Self-Organizing Neural Grove -- Transfer learning using the Online FMM model -- A supervised methodology to measure the variables contribution to a clustering -- Coupling between spatial consistency of neural ring and local eld potential coherence: A computational study -- Fading channel prediction based on self-optimizing neural networks -- Invariant Multiparameter Sensitivity of Oscillator Network -- Spatial-Temporal Saliency Feature Extraction For Robust Mean-Shift Tracker -- BOOSTRON: Boosting Based Perceptron Learning -- G-Stream: Growing Neural Gas over Data Stream -- Combining Active Learning and Semi-Supervised Learning Using Local and Global Consistency -- Complex-Valued Neural Networks -- Recent Progress and Future Directions -- A Cascade System of Simple Dynamic Binary Neural Networks and Its Sparsification -- A Model of V4 Neurons Based on Sparse Coding -- A fast and memory-efficient hierarchical graph clustering algorithm -- Hopfield-Type Associative Memory with Sparse Modular Networks -- Concept Drift Detection based on Anomaly Analysis -- Online learning for faulty RBF networks with the concurrent fault -- The Performance of the Stochastic DNN-kWTA network -- Modularity maximization adjusted by neural networks -- A dynamic pruning strategy for incremental learning on a budget -- Neural Computing with Concurrent Synchrony -- A Line-partitioned Heteroassociative Memory for Storing Binary Fresnel Hologram -- A Unified Framework for Privacy Preserving Data Clustering -- Spiking Neural Network with Lateral Inhibition for Reward-based Associative Learning -- Fuzzy Signature Neural Networks for Classification: Optimising the Structure -- Self-Organizing Map-based Probabilistic Associative Memory -- Neural Networks and Learning Systems – Applications -- A Causal Model for Disease Pathway Discovery -- Enhanced Non-linear Features for On-line Handwriting Recognition Using Deep Learning -- Recognizing Human Actions by Using the Evolving Remote Supervised Method of Spiking Neural Networks -- A Neural Networks Committee for the Contextual Bandit Problem -- Multi-step Predictions of Landslide Displacements based on Echo State Network -- Discrete-Time Nonlinear Generalized Policy Iteration for Optimal Control Using Neural Networks -- ANFIS-Based Model for Improved Paraphrase Rating Prediction -- Contextual Bandit for Active Learning: Active Thompson Sampling -- Choosing the Best Auto-encoder-based Bagging Classifier: An Empirical Study -- Classification of fMRI Data in the NeuCube Evolving Spiking Neural Network Architecture -- A hybrid approach to pixel data mining -- A Novel SOH Prediction Framework for the Lithium-ion Battery using Echo State Network -- Significance of Non-edge Priors in Gene Regulatory Network Reconstruction -- Robust Lane Detection Based On Convolutional Neural Network and Random Sample Consensus -- Learning Local Receptive Fields in Deep Belief Networks for Visual Feature Detection -- Adaptive Wavelet Extreme Learning Machine (AW-ELM) for Index Finger Recognition Using Two-Channel Electromyography -- Text Categorization Using an Automatically Generated Labelled Dataset: An Evaluation Study -- Online Recommender System Based on Social Network Regularization -- A Nonlinear Cross-site Transfer Learning Approach for Recommender Systems -- Deep Learning of Multifractal Attributes from Motor Imagery Induced EEG -- A Fast Neural-Dynamical Approach to Scale-Invariant Object Detection -- Improving Quantization Quality in Brain-inspired Self-organization for Non-stationary Data Spaces -- Utilizing High-Dimensional Neural Networks for Pseudo-Orthogonalization of Memory Patterns -- Adaptive Noise Schedule for Denoising Autoencoder -- Modeling Bi-Directional Tree Contexts by Generative Transductions.-A Novel Architecture for Capturing Discrete Sequences Using Self-Organizing Maps.-An Improved Gbest Guided Artificial Bee Colony Algorithm for Classification and Prediction Tasks -- Artifact Removal from EEG using a Multi-Objective Independent Component Analysis Model.-Cooperative Feature Level Data Fusion For Authentication Using Neural Networks.-Fuzzy Output Error as the Performance Function for Training Artificial Neural Networks to Predict Reading Comprehension from Eye Gaze.-Part-based Tracking with Appearance Learning and Structural Constrains Estimation of Hidden Markov Chains by a Neural Network.-Corporate Leaders Analytics and Network System (CLANS): Constructing and Mining Social Networks among Corporations and Business Elites in China.-Characteristics and Potential Developments of Multiple-MLP Ensemble Re-RX Algorithm. |
| Record Nr. | UNISA-996213647103316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Neural Information Processing [[electronic resource] ] : 21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part III / / edited by Chu Kiong Loo, Yap Keem Siah, Kok Wai Wong, Andrew Teoh Beng Jin, Kaizhu Huang
| Neural Information Processing [[electronic resource] ] : 21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part III / / edited by Chu Kiong Loo, Yap Keem Siah, Kok Wai Wong, Andrew Teoh Beng Jin, Kaizhu Huang |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (XX, 706 p. 301 illus.) |
| Disciplina | 006.32 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Pattern recognition systems
Computer vision Artificial intelligence Computer science Data mining Automated Pattern Recognition Computer Vision Artificial Intelligence Theory of Computation Data Mining and Knowledge Discovery |
| ISBN | 3-319-12643-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Signal and Image Processing -- Real Time Crowd Counting with Human Detection and Human Tracking -- A new method for removing random-valued impulse noise -- CTR Prediction for DSP with Improved Cube Factorization Model from Historical Bidding Log -- Image Retrieval using a Novel Color Similarity Measurement and Neural Networks -- Bottom-Up Visual Saliency Using Binary Spectrum of Walsh-Hadamard Transform -- Sonification for EEG Frequency Spectrum and EEG-based Emotion Features -- Forecasting Crowd State in Video by an improved Lattice Boltzmann Model Properties of Multiobjective Robust Controller Using Difference Signals and Multiple Competitive Associative Nets in Control of Linear Systems -- Calibrating Independent Component Analysis with Laplacian Reference for Real-time EEG Artifact Removal -- Unsupervised Segmentation Using Cluster Ensembles -- Similar-video retrieval via learned exemplars and time-warped alignment -- Automatic Image Annotation Exploiting Textual and Visual Saliency -- Classification of fish ectoparasite genus Gyrodactylus SEM images using ASM and complex network model. Linked Tucker2 decomposition for flexible multi-block data analysis -- Celebrity Face Image Retrieval Using Multiple Features -- A Novel Adaptive Shrinkage Threshold on Shearlet Transform for Image Denoising Perception of Symmetry in Natural Images --- A Cortical Representation of Shape -- Image Denoising with Rectified Linear Units -- Shape Preserving RGB-D Depth Map Restoration -- Online Detection of Concept Drift in Visual Tracking -- Temporally Regularized Filters for Common Spatial Patterns by Preserving Locally Linear Structure of EEG Trials -- Interactive Color Correction of Display by Dichromatic User -- A Neural Ensemble Approach for Segmentation and Classification of Road Images -- Using Biologically-Inspired Visual Features To Model The Restorative Potential Of Scenes -- Classification of Stroke Patients' Motor Imagery EEG with Autoencoders in BCI-FES Rehabilitation Training System -- Real-time Patch-based Tracking With Occlusion Handling -- Blood Cell Image Retrieval System using Color, Shape and Bag of Words -- Analysis of OCT Images for Detection of Choroidal Neovascularization in Retinal Pigment Epithelial Layer -- Online Object Tracking based on Depth Image with Sparse Coding -- Real-time compressive tracking with a particle filter framework -- Image Super-Resolution with Fast Approximate Convolutional Sparse Coding -- Sparse Coding for Improved Signal-to-Noise Ratio in MRI -- Scalable Video Coding Using Hybrid DCT/Wavelets Architectures -- Image Enhancement using Geometric Mean Filter and Gamma Correction for WCE Images -- Autoencoder Based Collaborative Filtering -- Extended Laplacian Sparse Coding for Image Categorization -- Special Session: The 2014 Cybersecurity Data Mining Competition and Workshop (CDMC2014) -- Stochastic Decision Making in Learning Classifier Systems through a Natural Policy Gradient Method -- Quantum Inspired Evolutionary Algorithm by representing Candidate Solution as Normal Distribution -- Text Categorization with Diversity Random Forests -- Unknown Attack Detection by Multistage One-Class SVM Focusing on Communication Interval -- "Analysis and Configuration of Boundary -- Difference Calculations" -- Morphological Associative Memory Employing a Split Store Method -- A Novel Hybrid Approach for Combining Deep and Traditional Neural Networks -- A Classification Method of Darknet Traffic for Advanced Security Monitoring and Response -- Detecting Malicious Spam Mails: An Online Machine Learning Approach -- Special Session: Intelligent Systems for Supporting Decision-Making Processes - Theories and Applications -- Freshness-Aware Thompson Sampling -- Condition monitoring of broken rotor bars using a hybrid FMM-GA model -- Employing Genetic Algorithm to Construct Epigenetic Tree-based Features for Enhancer Region Prediction -- Model and Algorithm for Multi-follower Tri-level Hierarchical Decision-Making -- A Fuzzy ART-based Approach for Estimation of High Performance Concrete Mix Proportion -- A New Application of an Evolving Tree to Failure Mode and Effect Analysis Methodology -- An Application of Fuzzy Adaptive Resonance Theory to Engineering Education -- Augmented Query Strategies for Active Learning in Stream Data Mining -- Feature Selection and Mass Classification Using Particle Swarm Optimization and Support Vector Machine -- Strategic decision support in waste management systems by state reduction in FCM models An ELM Based Multi Agent Systems Using Certified Belief in Strength -- Constrained–Optimization-Based Bayesian Posterior Probability Extreme Learning Machine For Pattern Classification -- Special Session: Neuroengineering and Neuralcomputing -- Adaptive Translational Cueing Motion Algorithm Using Fuzzy Based Tilt Coordination -- Adaptive Washout Algorithm Based Fuzzy Tuning for Improving Human Perception -- Neurophysiology of Insects Using Microelectrode Arrays: Current Trends and Future Prospects Neuron's Spikes Noise Level Classification using Hidden Markov Models -- Improved Robust Kalman Filtering for Uncertain Systems with Missing Measurements -- Motor Imagery Data Classification for BCI Application using Wavelet Packet Feature Extraction -- Adaptive-Multi-Reference Least Means Squares Filter -- sEMG-Based Single-Joint Active Training with iLeg---a Horizontal Exoskeleton for Lower Limb Rehabilitation.-Special Session: Cognitive Robotics -- Find rooms for improvement: Towards semi-automatic labeling of occupancy grid maps -- Understanding Dynamic Environments with Fuzzy Perception -- Towards Real-World Neurorobotics: Integrated Neuromorphic Visual Attention -- On the role of working memory in trading-off skills and situation awareness in Sudoku -- GA-Tetris Bot: Evolving a Better Tetris Gameplay using Adaptive Evaluation Scheme -- An Effectiveness of Model-Based Development with User Model in Consideration of Human -- Dynamic Programming for Guided Gene Transfer in Bacterial Memetic Algorithm -- Topological Adaptive Resonance Associative Memory with Fuzzy Motion Planning for Place Navigation -- Special Session: Security in Signal Processing and Machine Learning -- Predicting Mobile Subscriber’s Behaviour from SMS-Based Contextual Information Extraction -- Discovering Plain-Text-Described Services Based on Ontology Learning -- A Fuzzy VSM-based Approach for Semantic Service Retrieval -- Maintaining Trust in Cloud by SLA Monitoring. |
| Record Nr. | UNISA-996213646903316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Neural Information Processing : 21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part I / / edited by Chu Kiong Loo, Yap Keem Siah, Kok Wai Wong, Andrew Teoh Beng Jin, Kaizhu Huang
| Neural Information Processing : 21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part I / / edited by Chu Kiong Loo, Yap Keem Siah, Kok Wai Wong, Andrew Teoh Beng Jin, Kaizhu Huang |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (XXXIV, 635 p. 258 illus.) |
| Disciplina | 006.32 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Pattern recognition systems
Computer vision Artificial intelligence Computer science Data mining Automated Pattern Recognition Computer Vision Artificial Intelligence Theory of Computation Data Mining and Knowledge Discovery |
| ISBN | 3-319-12637-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Cognitive Science.-Transfer Entropy and Information Flow Patterns in Functional Brain Networks during Cognitive Activity -- Human Implicit Intent Discrimination Using EEG and Eye Movement -- Towards Establishing Relationships Between Human Arousal level and Motion Mass -- Estimating Nonlinear Spatiotemporal Membrane Dynamics in Active Dendrites -- Inter Subject Correlation of Brain Activity during Visuo-Motor Sequence Learning -- An Agent Response System based on Mirror Neuron and Theory of Mind -- Dynamic of Nitric Oxide Diffusion in Volume Transmission: Model and Validation -- A Computational Model of the Relation Between Regulation of Negative Emotions and Mood -- Neural Networks and Learning Systems - Theory and Design -- Low-cost Representation for Restricted Boltzmann Machines -- Add-if-Silent Rule for Training Multi-layered Convolutional Network Neocognitron -- Posterior Distribution Learning (PDL): A Novel Supervised Learning Framework Including Unlabeled Samples Distribution into Decision -- Computational Model of Neocortical Learning Process: Prototype -- Active Learning with Maximum Density and Minimum Redundancy -- One-to-Many Association Ability of Chaotic Quaternionic Multidirectional Associative Memory -- An Entropy-guided Adaptive Co-construction Method of State and Action Spaces in Reinforcement Learning -- A Nodes Reduction Procedure for RBFNDDA through Histogram -- Toroidal approximate identity neural networks are universal approximators -- Self-Organizing Neural Grove -- Transfer learning using the Online FMM model -- A supervised methodology to measure the variables contribution to a clustering -- Coupling between spatial consistency of neural ring and local eld potential coherence: A computational study -- Fading channel prediction based on self-optimizing neural networks -- Invariant Multiparameter Sensitivity of Oscillator Network -- Spatial-Temporal Saliency Feature Extraction For Robust Mean-Shift Tracker -- BOOSTRON: Boosting Based Perceptron Learning -- G-Stream: Growing Neural Gas over Data Stream -- Combining Active Learning and Semi-Supervised Learning Using Local and Global Consistency -- Complex-Valued Neural Networks -- Recent Progress and Future Directions -- A Cascade System of Simple Dynamic Binary Neural Networks and Its Sparsification -- A Model of V4 Neurons Based on Sparse Coding -- A fast and memory-efficient hierarchical graph clustering algorithm -- Hopfield-Type Associative Memory with Sparse Modular Networks -- Concept Drift Detection based on Anomaly Analysis -- Online learning for faulty RBF networks with the concurrent fault -- The Performance of the Stochastic DNN-kWTA network -- Modularity maximization adjusted by neural networks -- A dynamic pruning strategy for incremental learning on a budget -- Neural Computing with Concurrent Synchrony -- A Line-partitioned Heteroassociative Memory for Storing Binary Fresnel Hologram -- A Unified Framework for Privacy Preserving Data Clustering -- Spiking Neural Network with Lateral Inhibition for Reward-based Associative Learning -- Fuzzy Signature Neural Networks for Classification: Optimising the Structure -- Self-Organizing Map-based Probabilistic Associative Memory -- Neural Networks and Learning Systems – Applications -- A Causal Model for Disease Pathway Discovery -- Enhanced Non-linear Features for On-line Handwriting Recognition Using Deep Learning -- Recognizing Human Actions by Using the Evolving Remote Supervised Method of Spiking Neural Networks -- A Neural Networks Committee for the Contextual Bandit Problem -- Multi-step Predictions of Landslide Displacements based on Echo State Network -- Discrete-Time Nonlinear Generalized Policy Iteration for Optimal Control Using Neural Networks -- ANFIS-Based Model for Improved Paraphrase Rating Prediction -- Contextual Bandit for Active Learning: Active Thompson Sampling -- Choosing the Best Auto-encoder-based Bagging Classifier: An Empirical Study -- Classification of fMRI Data in the NeuCube Evolving Spiking Neural Network Architecture -- A hybrid approach to pixel data mining -- A Novel SOH Prediction Framework for the Lithium-ion Battery using Echo State Network -- Significance of Non-edge Priors in Gene Regulatory Network Reconstruction -- Robust Lane Detection Based On Convolutional Neural Network and Random Sample Consensus -- Learning Local Receptive Fields in Deep Belief Networks for Visual Feature Detection -- Adaptive Wavelet Extreme Learning Machine (AW-ELM) for Index Finger Recognition Using Two-Channel Electromyography -- Text Categorization Using an Automatically Generated Labelled Dataset: An Evaluation Study -- Online Recommender System Based on Social Network Regularization -- A Nonlinear Cross-site Transfer Learning Approach for Recommender Systems -- Deep Learning of Multifractal Attributes from Motor Imagery Induced EEG -- A Fast Neural-Dynamical Approach to Scale-Invariant Object Detection -- Improving Quantization Quality in Brain-inspired Self-organization for Non-stationary Data Spaces -- Utilizing High-Dimensional Neural Networks for Pseudo-Orthogonalization of Memory Patterns -- Adaptive Noise Schedule for Denoising Autoencoder -- Modeling Bi-Directional Tree Contexts by Generative Transductions.-A Novel Architecture for Capturing Discrete Sequences Using Self-Organizing Maps.-An Improved Gbest Guided Artificial Bee Colony Algorithm for Classification and Prediction Tasks -- Artifact Removal from EEG using a Multi-Objective Independent Component Analysis Model.-Cooperative Feature Level Data Fusion For Authentication Using Neural Networks.-Fuzzy Output Error as the Performance Function for Training Artificial Neural Networks to Predict Reading Comprehension from Eye Gaze.-Part-based Tracking with Appearance Learning and Structural Constrains Estimation of Hidden Markov Chains by a Neural Network.-Corporate Leaders Analytics and Network System (CLANS): Constructing and Mining Social Networks among Corporations and Business Elites in China.-Characteristics and Potential Developments of Multiple-MLP Ensemble Re-RX Algorithm. |
| Record Nr. | UNINA-9910484128103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Neural Information Processing : 21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part III / / edited by Chu Kiong Loo, Yap Keem Siah, Kok Wai Wong, Andrew Teoh Beng Jin, Kaizhu Huang
| Neural Information Processing : 21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part III / / edited by Chu Kiong Loo, Yap Keem Siah, Kok Wai Wong, Andrew Teoh Beng Jin, Kaizhu Huang |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (XX, 706 p. 301 illus.) |
| Disciplina | 006.32 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Pattern recognition systems
Computer vision Artificial intelligence Computer science Data mining Automated Pattern Recognition Computer Vision Artificial Intelligence Theory of Computation Data Mining and Knowledge Discovery |
| ISBN | 3-319-12643-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Signal and Image Processing -- Real Time Crowd Counting with Human Detection and Human Tracking -- A new method for removing random-valued impulse noise -- CTR Prediction for DSP with Improved Cube Factorization Model from Historical Bidding Log -- Image Retrieval using a Novel Color Similarity Measurement and Neural Networks -- Bottom-Up Visual Saliency Using Binary Spectrum of Walsh-Hadamard Transform -- Sonification for EEG Frequency Spectrum and EEG-based Emotion Features -- Forecasting Crowd State in Video by an improved Lattice Boltzmann Model Properties of Multiobjective Robust Controller Using Difference Signals and Multiple Competitive Associative Nets in Control of Linear Systems -- Calibrating Independent Component Analysis with Laplacian Reference for Real-time EEG Artifact Removal -- Unsupervised Segmentation Using Cluster Ensembles -- Similar-video retrieval via learned exemplars and time-warped alignment -- Automatic Image Annotation Exploiting Textual and Visual Saliency -- Classification of fish ectoparasite genus Gyrodactylus SEM images using ASM and complex network model. Linked Tucker2 decomposition for flexible multi-block data analysis -- Celebrity Face Image Retrieval Using Multiple Features -- A Novel Adaptive Shrinkage Threshold on Shearlet Transform for Image Denoising Perception of Symmetry in Natural Images --- A Cortical Representation of Shape -- Image Denoising with Rectified Linear Units -- Shape Preserving RGB-D Depth Map Restoration -- Online Detection of Concept Drift in Visual Tracking -- Temporally Regularized Filters for Common Spatial Patterns by Preserving Locally Linear Structure of EEG Trials -- Interactive Color Correction of Display by Dichromatic User -- A Neural Ensemble Approach for Segmentation and Classification of Road Images -- Using Biologically-Inspired Visual Features To Model The Restorative Potential Of Scenes -- Classification of Stroke Patients' Motor Imagery EEG with Autoencoders in BCI-FES Rehabilitation Training System -- Real-time Patch-based Tracking With Occlusion Handling -- Blood Cell Image Retrieval System using Color, Shape and Bag of Words -- Analysis of OCT Images for Detection of Choroidal Neovascularization in Retinal Pigment Epithelial Layer -- Online Object Tracking based on Depth Image with Sparse Coding -- Real-time compressive tracking with a particle filter framework -- Image Super-Resolution with Fast Approximate Convolutional Sparse Coding -- Sparse Coding for Improved Signal-to-Noise Ratio in MRI -- Scalable Video Coding Using Hybrid DCT/Wavelets Architectures -- Image Enhancement using Geometric Mean Filter and Gamma Correction for WCE Images -- Autoencoder Based Collaborative Filtering -- Extended Laplacian Sparse Coding for Image Categorization -- Special Session: The 2014 Cybersecurity Data Mining Competition and Workshop (CDMC2014) -- Stochastic Decision Making in Learning Classifier Systems through a Natural Policy Gradient Method -- Quantum Inspired Evolutionary Algorithm by representing Candidate Solution as Normal Distribution -- Text Categorization with Diversity Random Forests -- Unknown Attack Detection by Multistage One-Class SVM Focusing on Communication Interval -- "Analysis and Configuration of Boundary -- Difference Calculations" -- Morphological Associative Memory Employing a Split Store Method -- A Novel Hybrid Approach for Combining Deep and Traditional Neural Networks -- A Classification Method of Darknet Traffic for Advanced Security Monitoring and Response -- Detecting Malicious Spam Mails: An Online Machine Learning Approach -- Special Session: Intelligent Systems for Supporting Decision-Making Processes - Theories and Applications -- Freshness-Aware Thompson Sampling -- Condition monitoring of broken rotor bars using a hybrid FMM-GA model -- Employing Genetic Algorithm to Construct Epigenetic Tree-based Features for Enhancer Region Prediction -- Model and Algorithm for Multi-follower Tri-level Hierarchical Decision-Making -- A Fuzzy ART-based Approach for Estimation of High Performance Concrete Mix Proportion -- A New Application of an Evolving Tree to Failure Mode and Effect Analysis Methodology -- An Application of Fuzzy Adaptive Resonance Theory to Engineering Education -- Augmented Query Strategies for Active Learning in Stream Data Mining -- Feature Selection and Mass Classification Using Particle Swarm Optimization and Support Vector Machine -- Strategic decision support in waste management systems by state reduction in FCM models An ELM Based Multi Agent Systems Using Certified Belief in Strength -- Constrained–Optimization-Based Bayesian Posterior Probability Extreme Learning Machine For Pattern Classification -- Special Session: Neuroengineering and Neuralcomputing -- Adaptive Translational Cueing Motion Algorithm Using Fuzzy Based Tilt Coordination -- Adaptive Washout Algorithm Based Fuzzy Tuning for Improving Human Perception -- Neurophysiology of Insects Using Microelectrode Arrays: Current Trends and Future Prospects Neuron's Spikes Noise Level Classification using Hidden Markov Models -- Improved Robust Kalman Filtering for Uncertain Systems with Missing Measurements -- Motor Imagery Data Classification for BCI Application using Wavelet Packet Feature Extraction -- Adaptive-Multi-Reference Least Means Squares Filter -- sEMG-Based Single-Joint Active Training with iLeg---a Horizontal Exoskeleton for Lower Limb Rehabilitation.-Special Session: Cognitive Robotics -- Find rooms for improvement: Towards semi-automatic labeling of occupancy grid maps -- Understanding Dynamic Environments with Fuzzy Perception -- Towards Real-World Neurorobotics: Integrated Neuromorphic Visual Attention -- On the role of working memory in trading-off skills and situation awareness in Sudoku -- GA-Tetris Bot: Evolving a Better Tetris Gameplay using Adaptive Evaluation Scheme -- An Effectiveness of Model-Based Development with User Model in Consideration of Human -- Dynamic Programming for Guided Gene Transfer in Bacterial Memetic Algorithm -- Topological Adaptive Resonance Associative Memory with Fuzzy Motion Planning for Place Navigation -- Special Session: Security in Signal Processing and Machine Learning -- Predicting Mobile Subscriber’s Behaviour from SMS-Based Contextual Information Extraction -- Discovering Plain-Text-Described Services Based on Ontology Learning -- A Fuzzy VSM-based Approach for Semantic Service Retrieval -- Maintaining Trust in Cloud by SLA Monitoring. |
| Record Nr. | UNINA-9910484088603321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
