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Advance concepts of image processing and pattern recognition : effective solution for global challenges / / Narendra Kumar [and four others], editors
| Advance concepts of image processing and pattern recognition : effective solution for global challenges / / Narendra Kumar [and four others], editors |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (233 pages) |
| Disciplina | 621.367 |
| Collana | Transactions on Computer Systems and Networks Ser. |
| Soggetto topico |
Image processing - Digital techniques
Image processing - Digital techniques - Data processing Processament digital d'imatges Reconeixement de formes (Informàtica) |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 981-16-9324-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996464549403316 |
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advance concepts of image processing and pattern recognition : effective solution for global challenges / / Narendra Kumar [and four others], editors
| Advance concepts of image processing and pattern recognition : effective solution for global challenges / / Narendra Kumar [and four others], editors |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (233 pages) |
| Disciplina | 621.367 |
| Collana | Transactions on Computer Systems and Networks |
| Soggetto topico |
Image processing - Digital techniques
Image processing - Digital techniques - Data processing Processament digital d'imatges Reconeixement de formes (Informàtica) |
| Soggetto genere / forma | Llibres electrònics |
| ISBN |
981-16-9324-2
981-16-9323-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996549370903316 |
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advance concepts of image processing and pattern recognition : effective solution for global challenges / / Narendra Kumar [and four others], editors
| Advance concepts of image processing and pattern recognition : effective solution for global challenges / / Narendra Kumar [and four others], editors |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (233 pages) |
| Disciplina | 621.367 |
| Collana | Transactions on Computer Systems and Networks |
| Soggetto topico |
Image processing - Digital techniques
Image processing - Digital techniques - Data processing Processament digital d'imatges Reconeixement de formes (Informàtica) |
| Soggetto genere / forma | Llibres electrònics |
| ISBN |
981-16-9324-2
981-16-9323-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910743353203321 |
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Biometric Person Authentication [[electronic resource] ] : 5th Chinese Conference on Biometric Recognition, SINOBIOMETRICS 2004, Guangzhou, China, December 13-14, 2004, Proceedings / / edited by Stan Z. Li, Jianhuang Lai, Tieniu Tan, Guocan Feng, Yunhong Wang
| Advances in Biometric Person Authentication [[electronic resource] ] : 5th Chinese Conference on Biometric Recognition, SINOBIOMETRICS 2004, Guangzhou, China, December 13-14, 2004, Proceedings / / edited by Stan Z. Li, Jianhuang Lai, Tieniu Tan, Guocan Feng, Yunhong Wang |
| Edizione | [1st ed. 2005.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005 |
| Descrizione fisica | 1 online resource (XVIII, 700 p.) |
| Disciplina | 006.4 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Pattern recognition
Application software Multimedia information systems Special purpose computers Management information systems Computer science Pattern Recognition Computer Appl. in Social and Behavioral Sciences Computer Appl. in Administrative Data Processing Multimedia Information Systems Special Purpose and Application-Based Systems Management of Computing and Information Systems Seguretat informàtica Reconeixement de formes (Informàtica) Biometria |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 3-540-30548-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Biometrics -- Biometrics: When Identity Matters -- Face Recognition: Technical Challenges and Research Directions -- Fingerprints: Recognition, Performance Evaluation and Synthetic Generation -- Recognising Persons by Their Iris Patterns -- Multiple Classifier Fusion for Biometric Authentication -- Performance Evaluation in 1 : 1 Biometric Engines -- Best Performing Biometric Engines -- Discussions on Some Problems in Face Recognition -- Improving Fingerprint Recognition Performance Based on Feature Fusion and Adaptive Registration Pattern -- Iris Recognition Based on Non-local Comparisons -- Palmprint Authentication Technologies, Systems and Applications -- Face Recognition -- Novel Face Detection Method Based on Gabor Features -- Optimal Shape Space and Searching in ASM Based Face Alignment -- Gabor Wavelet-Based Eyes and Mouth Detection Algorithm -- An Entropy-Based Diversity Measure for Classifier Combining and Its Application to Face Classifier Ensemble Thinning -- Estimating the Visual Direction with Two-Circle Algorithm -- Multiple Face Contour Detection Using Adaptive Flows -- Pose Normalization Using Generic 3D Face Model as a Priori for Pose-Insensitive Face Recognition -- Gabor-Based Kernel Fisher Discriminant Analysis for Pose Discrimination -- Robust Pose Estimation of Face Using Genetic Algorithm -- Facial Pose Estimation Based on the Mongolian Race’s Feature Characteristic from a Monocular Image -- Boosting Local Binary Pattern (LBP)-Based Face Recognition -- Gabor Features Based Method Using HDR (G-HDR) for Multiview Face Recognition -- Face Recognition Under Varying Lighting Based on Derivates of Log Image -- A Fast Method of Lighting Estimate Using Multi-linear Algebra -- Face Recognition Using More than One Still Image: What Is More? -- Video-Based Face Recognition Using a Metric of Average Euclidean Distance -- 3D Face Recognition Based on G-H Shape Variation -- 3D Face Recognition Based on Geometrical Measurement -- 3D Face Recognition Using Eigen-Spectrum on the Flattened Facial Surface -- Building a 3D Morphable Face Model by Using Thin Plate Splines for Face Reconstruction -- 3D Surface Reconstruction Based on One Non-symmetric Face Image -- Recent Advances in Subspace Analysis for Face Recognition -- Component-Based Cascade Linear Discriminant Analysis for Face Recognition -- Unified Locally Linear Embedding and Linear Discriminant Analysis Algorithm (ULLELDA) for Face Recognition -- On Dimensionality Reduction for Client Specific Discriminant Analysis with Application to Face Verification -- The Solution Space for Fisher Discriminant Analysis and the Uniqueness Under Constraints -- A Novel One-Parameter Regularized Linear Discriminant Analysis for Solving Small Sample Size Problem in Face Recognition -- Fast Calculation for Fisher Criteria in Small Sample Size Problem -- Vision-Based Face Understanding Technologies and Their Applications -- International Standardization on Face Recognition Technology -- System Design and Assessment Methodology for Face Recognition Algorithms -- Baseline Evaluations on the CAS-PEAL-R1 Face Database -- An Efficient Compression and Reconstruction Method of Face Image for Low Rate Net -- How Can We Reconstruct Facial Image from Partially Occluded or Low-Resolution One? -- A Matrix-Oriented Method for Appearance-Based Data Compression – An Idea from Group Representation Theory -- Fingerprint Recognition -- An Adaptive Fingerprint Post-processing Algorithm Based on Mathematical Morphology -- Fingerprint Image Segmentation by Energy of Gaussian-Hermite Moments -- Robust Ridge Following in Fingerprints -- A New Approach for Fingerprint Minutiae Extraction -- A Top-Down Fingerprint Image Enhancement Method Based on Fourier Analysis -- Fingerprint Templates Combination -- Skeletonization of Fingerprint Based-on Modulus Minima of Wavelet Transform -- Transformation-Variants Estimation Using Similarity Relative Histogram Grouping Model -- A Study of Minutiae Matching Algorithm Based on Orientation Validation -- Cascading a Couple of Registration Methods for a High Accurate Fingerprint Verification System -- A Hierarchical Fingerprint Matching Method Based on Rotation Invariant Features -- Phase-Correlation Based Registration of Swipe Fingerprints -- An Improved Method for Singularity Detection of Fingerprint Images -- Fingerprint Classifier Using Embedded Hidden Markov Models -- A Robust Pseudoridges Extraction Algorithm for Fingerprints -- Iris Recognition -- Iris Image Capture System Design for Personal Identification -- An Iris Segmentation Procedure for Iris Recognition -- Zernike Moment Invariants Based Iris Recognition -- Two-Dimensional Projection and Crossing for Iris Optimal Localization -- Speaker Recognition -- Improvement of Speaker Identification by Combining Prosodic Features with Acoustic Features -- Bimodal Speaker Identification Using Dynamic Bayesian Network -- A Novel Pitch Period Detection Algorithm Based on Hilbert-Huang Transform -- Noisy Speech Pitch Detection Based on Mathematical Morphology and Weighted MACF -- Glottal Information Based Spectral Recuperation in Multi-channel Speaker Recognition -- Speaker Modeling Technique Based on Regression Class for Speaker Identification with Sparse Training -- Other Biometrics -- Some Issues Pertaining to Adaptive Multimodal Biometric Authentication -- Protecting Biometric Data for Personal Identification -- Digital Curvelet Transform for Palmprint Recognition -- On-line Writer Verification Using Force Features of Basic Strokes -- A Novel Force Sensitive Tablet for Handwriting Information Acquisition -- Shape and Structural Feature Based Ear Recognition -- LLE Based Gait Analysis and Recognition -- Personal Identification Using Knuckleprint -- AAM Based Matching of Hand Appearance for User Verification. |
| Record Nr. | UNISA-996466360203316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Contactless human activity analysis / / Md Atiqur Rahman Ahad, Upal Mahbub, Tauhidur Rahman (editors)
| Contactless human activity analysis / / Md Atiqur Rahman Ahad, Upal Mahbub, Tauhidur Rahman (editors) |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (379 pages) : illustrations |
| Disciplina | 681.25 |
| Collana | Intelligent Systems Reference Library |
| Soggetto topico |
Human activity recognition
Reconeixement de formes (Informàtica) |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-68590-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910483289503321 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Genetic programming for image classification : an automated approach to feature learning / / Ying Bi, Bing Xue, Mengjie Zhang
| Genetic programming for image classification : an automated approach to feature learning / / Ying Bi, Bing Xue, Mengjie Zhang |
| Autore | Bi Ying |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (279 pages) |
| Disciplina | 006.31 |
| Collana | Adaptation, learning and optimization |
| Soggetto topico |
Genetic programming (Computer science)
Pattern recognition systems Programació (Ordinadors) Reconeixement de formes (Informàtica) Visió per ordinador |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-65927-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910483805003321 |
Bi Ying
|
||
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Multi-level Bayesian models for environment perception / / Csaba Benedek
| Multi-level Bayesian models for environment perception / / Csaba Benedek |
| Autore | Benedek Csaba |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (208 pages) |
| Disciplina | 006.4 |
| Soggetto topico |
Markov processes
Bayesian statistical decision theory Reconeixement de formes (Informàtica) Visió per ordinador Models matemàtics Processos de Markov Estadística bayesiana |
| Soggetto genere / forma | Llibres electrònics |
| ISBN |
9783030836542
9783030836535 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Acknowledgements -- Contents -- Acronyms and Notations -- Abbreviations and Concepts -- General Notations Used in the Book -- Specific Notations Used in MRF/CXM Models -- Specific Notations Used in MPP Models -- 1 Introduction -- 2 Fundamentals -- 2.1 Measurement Representation and Problem Formulations -- 2.2 Markovian Classification Models -- 2.2.1 Markov Random Fields, Gibbs Potentials, and Observation Processes -- 2.2.2 Bayesian Labeling Approach and the Potts Model -- 2.2.3 MRF-Based Image Segmentation -- 2.2.4 MRF Optimization -- 2.2.5 Mixed Markov Models -- 2.3 Object Population Extraction with Marked Point Processes -- 2.3.1 Definition of Marked Point Processes -- 2.3.2 MPP Energy Functions -- 2.3.3 MPP Optimization -- 2.4 Methodological Contributions of the Book -- 3 Bayesian Models for Dynamic Scene Analysis -- 3.1 Dynamic Scene Perception -- 3.2 Foreground Extraction in Video Sequences -- 3.2.1 Related Work in Video-Based Foreground Detection -- 3.2.2 MRF Model for Foreground Extraction -- 3.2.3 Probabilistic Model of the Background and Shadow Processes -- 3.2.4 Microstructural Features -- 3.2.5 Foreground Probabilities -- 3.2.6 Parameter Settings -- 3.2.7 MRF Optimization -- 3.2.8 Results -- 3.2.9 Summary and Applications of Foreground Segmentation -- 3.3 People Localization in Multi-camera Systems -- 3.3.1 A New Approach on Multi-view People Localization -- 3.3.2 Silhouette-Based Feature Extraction -- 3.3.3 3D Marked Point Process Model -- 3.3.4 Evaluation of Multi-camera People Localization -- 3.3.5 Applications and Alternative Ways of 3D Person Localization -- 3.4 Foreground Extraction in Lidar Point Cloud Sequences -- 3.4.1 Problem Formulation and Data Mapping -- 3.4.2 Background Model -- 3.4.3 DMRF Approach on Foreground Segmentation -- 3.4.4 Evaluation of DMRF-Based Foreground-Background Separation.
3.4.5 Application of the DMFR Method for Person and Activity Recognition -- 3.5 Conclusions -- 4 Multi-layer Label Fusion Models -- 4.1 Markovian Fusion Models in Computer Vision -- 4.2 A Label Fusion Model for Object Motion Detection -- 4.2.1 2D Image Registration -- 4.2.2 Change Detection with 3D Approach -- 4.2.3 Feature Selection -- 4.2.4 Multi-layer Segmentation Model -- 4.2.5 L3Mrf Optimization -- 4.2.6 Experiments on Object Motion Detection -- 4.3 Long-Term Change Detection in Aerial Photos -- 4.3.1 Image Model and Feature Extraction -- 4.3.2 A Conditional Mixed Markov Image Segmentation Model -- 4.3.3 Experiments on Long-Term Change Detection -- 4.4 Parameter Settings in Multi-layer Segmentation Models -- 4.5 Conclusions -- 5 Multitemporal Data Analysis with Marked Point Processes -- 5.1 Introducing the Time Dimension in MPP Models -- 5.2 Object-Level Change Detection -- 5.2.1 Building Development Monitoring-Problem Definition -- 5.2.2 Feature Selection -- 5.2.3 Multitemporal MPP Configuration Model and Optimization -- 5.2.4 Experimental Study of the mMPP Model -- 5.3 A Point Process Model for Target Sequence Analysis -- 5.3.1 Application on Moving Target Analysis in ISAR Image Sequences -- 5.3.2 Problem Definition and Notations -- 5.3.3 Data Preprocessing in a Bottom-Up Approach -- 5.3.4 Multiframe Marked Point Process Model -- 5.3.5 Multiframe MPP Optimization -- 5.3.6 Experimental Results on Target Sequence Analysis -- 5.4 Parameter Settings in Dynamic MPP Models -- 5.5 Conclusions -- 6 Multi-level Object Population Analysis with an Embedded MPP Model -- 6.1 A Hierarchical MPP Approach -- 6.2 Problem Formulation and Notations -- 6.3 EMPP Energy Model -- 6.4 Multi-level MPP Optimization -- 6.5 Applications of the EMPP Model -- 6.5.1 Built-in Area Analysis in Aerial and Satellite Images -- 6.5.2 Traffic Monitoring-Based on Lidar Data. 6.5.3 Automatic Optical Inspection of Printed Circuit Boards -- 6.6 Implementation Details -- 6.7 Quantitative Evaluation Framework -- 6.7.1 EMPP Benchmark Database -- 6.7.2 Quantitative Evaluation Methodology -- 6.8 Experimental Results -- 6.8.1 EMPP Versus an Ensemble of Single Layer MPPs -- 6.8.2 Application Level Comparison to Non-MPP-Based Techniques -- 6.8.3 Effects on Data Term Parameter Settings -- 6.8.4 Computational Time -- 6.8.5 Experiment Repeatability -- 6.9 Conclusion -- 7 Concluding Remarks -- Appendix References -- -- Index. |
| Record Nr. | UNISA-996472038103316 |
|
Benedek Csaba
|
||
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Multi-level Bayesian models for environment perception / / Csaba Benedek
| Multi-level Bayesian models for environment perception / / Csaba Benedek |
| Autore | Benedek Csaba |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (208 pages) |
| Disciplina | 006.4 |
| Soggetto topico |
Markov processes
Bayesian statistical decision theory Reconeixement de formes (Informàtica) Visió per ordinador Models matemàtics Processos de Markov Estadística bayesiana |
| Soggetto genere / forma | Llibres electrònics |
| ISBN |
9783030836542
9783030836535 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Acknowledgements -- Contents -- Acronyms and Notations -- Abbreviations and Concepts -- General Notations Used in the Book -- Specific Notations Used in MRF/CXM Models -- Specific Notations Used in MPP Models -- 1 Introduction -- 2 Fundamentals -- 2.1 Measurement Representation and Problem Formulations -- 2.2 Markovian Classification Models -- 2.2.1 Markov Random Fields, Gibbs Potentials, and Observation Processes -- 2.2.2 Bayesian Labeling Approach and the Potts Model -- 2.2.3 MRF-Based Image Segmentation -- 2.2.4 MRF Optimization -- 2.2.5 Mixed Markov Models -- 2.3 Object Population Extraction with Marked Point Processes -- 2.3.1 Definition of Marked Point Processes -- 2.3.2 MPP Energy Functions -- 2.3.3 MPP Optimization -- 2.4 Methodological Contributions of the Book -- 3 Bayesian Models for Dynamic Scene Analysis -- 3.1 Dynamic Scene Perception -- 3.2 Foreground Extraction in Video Sequences -- 3.2.1 Related Work in Video-Based Foreground Detection -- 3.2.2 MRF Model for Foreground Extraction -- 3.2.3 Probabilistic Model of the Background and Shadow Processes -- 3.2.4 Microstructural Features -- 3.2.5 Foreground Probabilities -- 3.2.6 Parameter Settings -- 3.2.7 MRF Optimization -- 3.2.8 Results -- 3.2.9 Summary and Applications of Foreground Segmentation -- 3.3 People Localization in Multi-camera Systems -- 3.3.1 A New Approach on Multi-view People Localization -- 3.3.2 Silhouette-Based Feature Extraction -- 3.3.3 3D Marked Point Process Model -- 3.3.4 Evaluation of Multi-camera People Localization -- 3.3.5 Applications and Alternative Ways of 3D Person Localization -- 3.4 Foreground Extraction in Lidar Point Cloud Sequences -- 3.4.1 Problem Formulation and Data Mapping -- 3.4.2 Background Model -- 3.4.3 DMRF Approach on Foreground Segmentation -- 3.4.4 Evaluation of DMRF-Based Foreground-Background Separation.
3.4.5 Application of the DMFR Method for Person and Activity Recognition -- 3.5 Conclusions -- 4 Multi-layer Label Fusion Models -- 4.1 Markovian Fusion Models in Computer Vision -- 4.2 A Label Fusion Model for Object Motion Detection -- 4.2.1 2D Image Registration -- 4.2.2 Change Detection with 3D Approach -- 4.2.3 Feature Selection -- 4.2.4 Multi-layer Segmentation Model -- 4.2.5 L3Mrf Optimization -- 4.2.6 Experiments on Object Motion Detection -- 4.3 Long-Term Change Detection in Aerial Photos -- 4.3.1 Image Model and Feature Extraction -- 4.3.2 A Conditional Mixed Markov Image Segmentation Model -- 4.3.3 Experiments on Long-Term Change Detection -- 4.4 Parameter Settings in Multi-layer Segmentation Models -- 4.5 Conclusions -- 5 Multitemporal Data Analysis with Marked Point Processes -- 5.1 Introducing the Time Dimension in MPP Models -- 5.2 Object-Level Change Detection -- 5.2.1 Building Development Monitoring-Problem Definition -- 5.2.2 Feature Selection -- 5.2.3 Multitemporal MPP Configuration Model and Optimization -- 5.2.4 Experimental Study of the mMPP Model -- 5.3 A Point Process Model for Target Sequence Analysis -- 5.3.1 Application on Moving Target Analysis in ISAR Image Sequences -- 5.3.2 Problem Definition and Notations -- 5.3.3 Data Preprocessing in a Bottom-Up Approach -- 5.3.4 Multiframe Marked Point Process Model -- 5.3.5 Multiframe MPP Optimization -- 5.3.6 Experimental Results on Target Sequence Analysis -- 5.4 Parameter Settings in Dynamic MPP Models -- 5.5 Conclusions -- 6 Multi-level Object Population Analysis with an Embedded MPP Model -- 6.1 A Hierarchical MPP Approach -- 6.2 Problem Formulation and Notations -- 6.3 EMPP Energy Model -- 6.4 Multi-level MPP Optimization -- 6.5 Applications of the EMPP Model -- 6.5.1 Built-in Area Analysis in Aerial and Satellite Images -- 6.5.2 Traffic Monitoring-Based on Lidar Data. 6.5.3 Automatic Optical Inspection of Printed Circuit Boards -- 6.6 Implementation Details -- 6.7 Quantitative Evaluation Framework -- 6.7.1 EMPP Benchmark Database -- 6.7.2 Quantitative Evaluation Methodology -- 6.8 Experimental Results -- 6.8.1 EMPP Versus an Ensemble of Single Layer MPPs -- 6.8.2 Application Level Comparison to Non-MPP-Based Techniques -- 6.8.3 Effects on Data Term Parameter Settings -- 6.8.4 Computational Time -- 6.8.5 Experiment Repeatability -- 6.9 Conclusion -- 7 Concluding Remarks -- Appendix References -- -- Index. |
| Record Nr. | UNINA-9910564689303321 |
|
Benedek Csaba
|
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| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Neural Information Processing : 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12–15, 2019, Proceedings, Part IV / / edited by Tom Gedeon, Kok Wai Wong, Minho Lee
| Neural Information Processing : 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12–15, 2019, Proceedings, Part IV / / edited by Tom Gedeon, Kok Wai Wong, Minho Lee |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (795 pages) |
| Disciplina |
006.32
006.4 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Xarxes neuronals (Informàtica)
Processament òptic de dades Reconeixement de formes (Informàtica) Pattern recognition Optical data processing Machine learning Computers Application software Pattern Recognition Image Processing and Computer Vision Machine Learning Information Systems and Communication Service Computer Appl. in Social and Behavioral Sciences |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-36808-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Adversarial Deep Learning with Stackelberg Games -- Enhance Feature Representation of Dual Networks for Attribute Prediction -- Data augment in imbalanced learning based on Generative Adversarial Networks -- A deep learning scheme for extracting pedestrian-parcel tuples from videos -- Support Matching: a Novel Regularization to Escape from Mode Collapse in GANs -- Patch-based Generative Adversarial Network Towards Retinal Vessel Segmentation -- A Gradient-based Algorithm to Deceive Deep Neural Networks -- Writing Style Adversarial Network for Handwritten Chinese Character Recognition -- Recovering Super-Resolution Generative Adversarial Network for Underwater Images -- Hierarchical Attention CNN Model for Relation Extraction -- Fault Tolerant Broad Learning System -- Group Loss: An Efficient Strategy for Salient Object Detection -- PPGCN: a message selection based approach for graph classification -- Multi-Task Temporal Convolutional Network for Predicting Water Quality Sensor Data -- CNN-LSTM Neural Networks for Anomalous Database Intrusion Detection in RBAC-Administered Model -- MC-HDCNN: Computing the Stereo Matching Cost with a Hybrid Dilated Convolutional Neural Network -- Convolutional Neural Network to Detect Thorax Diseases from Multi-View Chest X-Rays -- Visual Speaker Authentication by a CNN-based Scheme with Discriminative Segment Analysis -- Intrusion Detection Using Temporal Convolutional Networks -- Empirical Study of Easy and Hard Examples in CNN Training -- GCNDA:Graph Convolutional Networks with Dual Attention Mechanisms for Aspect Based Sentiment Analysis -- A Wind Power Prediction Method Based on Deep Convolutional Network with Multiple Features -- Simple ConvNet Based on Bag of MLP-based Local Descriptors -- Convolutional LSTM: A Deep Learning Method for Motion Intention Recognition Based on Spatiotemporal EEG Data -- A Deep Neural Network Model for Rating Prediction based on Multi-layer Prediction and Multi-granularity Latent Feature Vectors -- LSPM: Joint Deep Modeling of Long-term Preference and Short-term Preference for Recommendation -- How we Achieved a Production Ready Slot Filling Deep Neural Network without Initial Natural Language Data -- Swarm Intelligence Based Ensemble Learning of Deep Neural Networks -- DSMRSeg:Dual-Stage feature pyramid and Mutil-Range context aggregation for real-time Semantic Segmentation -- Safety and Robustness of Deep Neural Networks Object Recognition under Generic Attacks -- Deep Neural Network Hyperparameter Optimization with Orthogonal Array Tuning -- Improving the Identification of Code Smells by Combining Structural and Semantic Information -- Learnable Gabor Convolutional Networks -- Deep Autoencoder on Personalized Facet Selection -- Attention-based Deep Q-Network in Complex Systems -- Effect of Data Augmentation and Lung Mask Segmentation for Automated Chest Radiograph Interpretation of Some Lung Diseases -- A Comparison Study of Deep Learning Techniques to Increase the Spatial Resolution of Photo-realistic Images -- Neural Architecture Search for Domestic Audio Tagging -- A Robust Embedding for Attributed Networks with Outliers -- Pay Attention to Deep Feature Fusion in Crowd Density Estimation -- Knowledge Reuse of Learning Agent Based on Factor Information of Behavioral Rules -- Community Based Node Embeddings for Networks -- Code Generation from Supervised Code Embeddings -- ComNE: Reinforcing Network Embedding with Community Learning -- D2PLS: A Novel Bilinear Method for Facial Feature Fusion -- Learning Network Representation via Ego-network-level Relationship -- DMCM: A Deep Multi-Channel Model for Dynamic Movie Recommendation -- Dance to Music Expressively: A Brain-inspired System Based on Audio-semantic Model for Cognitive Development of Robots -- Identifying EEG responses modulated by working memory loads from weighted phase lag index based functional connectivity microstates -- Combining Fisheye Camera with Odometer for Autonomous Parking -- Deep Learning and Statistical Models for Time-Critical Pedestrian Behaviour Prediction -- Multi-class Human Body Parsing with Edge-Enhancement Network -- vUBM: Variational Universal Background Model for EEG-based Person Authentication -- Passenger Demographic Attributes Prediction for Human-centered Public Transport -- Spontaneous EEG classification using complex valued neural network -- Tongue Coating Classification Based on Multiple-Instance Learning and Deep Features -- Machine Learning based Trust Model for Misbehaviour Detection in Internet-of-Vehicles -- Toward the Ontology-Based Security Verification and Validation Model for the Vehicular Domain -- Encephalographic Assessment of Situation Awareness in Teleoperation of Human-Swarm Teaming -- Adaptive Estimation of Human-Robot Interaction Force for Lower Limb Rehabilitation -- Effect of incomplete memorization in a computational model of human cognition -- Decoding Action Observation Using Complex Brain Networks from Simultaneously Recorded EEG-fNIRS Signals -- Characterizing and Identifying Autism Disorder Using Regional Connectivity Patterns and Extreme Gradient Boosting Classifier -- TP-ADMM: An Efficient Two-Stage Framework for Training Binary Neural Networks -- Fast and Accurate Lung Tumor Spotting and Segmentation for Boundary Delineation on CT Slices In A Coarse-To-Fine Framework -- Exploration of Different Attention Mechanisms on Medical Image Segmentation -- Machine learning based method for Huntington's disease gait pattern recognition -- Research on Deep Learning-based Intelligent Diagnosis Algorithms for OCT Medical Images of Macular Edema -- Using (automated) machine learning and drug prescrip-tion records to predict mortality and polypharmacy in older type 2 diabetes mellitus patients -- Deep Vision System for Clinical Gait Analysis in and out of Hospital -- Recognizing Facial Expressions of Occluded Faces using Convolutional Neural Networks -- Analysis of Key Face Parts to Detect Emotional Expression Using a Neural Network Model -- Multi-task Gated Contextual Cross-modal Attention Framework for Sentiment and Emotion Analysis -- A Cross-Culture Study on Multimodal Emotion Recognition Using Deep Learning -- Time-Frequency Deep Representation Learning for Speech Emotion Recognition Integrating Self-Attention -- Sparse Graphic Attention LSTM for EEG Emotion Recognition -- Dynamic Facial Stress Recognition in Temporal Convolutional Network -- A Comparison of CasPer Against Other ML Techniques for Stress Recognition -- On Explainable Flexible Fuzzy Recommender and Its Performance Evaluation Using the Akaike Information Criterion -- A Hybrid Evolutionary Algorithm with Taboo and Competition Strategies for Minimum Vertex Cover Problem -- An Ant Colony System for Carpool Service Problem with High Seating Capacity -- Enhancing Artificial Bee Colony Algorithm with Directional Information -- Using Evolutionary Algorithms for Hyperparameter Tuning and Network Reduction Techniques to Classify Core Porosity Classes based on Petrographical Descriptions -- Using an Evolutionary Algorithm to optimise the hyper-parameters of a cascading neural network -- Instruction Cognitive One-Shot Malware Outbreak Detection -- A Fast Algorithm for Constructing Phylogenetic Trees with Application to IoT Malware Clustering. |
| Record Nr. | UNINA-9910364953103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Novelty, Information and Surprise [[electronic resource] /] / by Günther Palm
| Novelty, Information and Surprise [[electronic resource] /] / by Günther Palm |
| Autore | Palm Günther |
| Edizione | [2nd ed. 2022.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (XX, 293 p. 1 illus.) |
| Disciplina | 519.5 |
| Collana | Information Science and Statistics |
| Soggetto topico |
Statistics
Biomathematics Biometry Pattern recognition systems Statistical Theory and Methods Mathematical and Computational Biology Biostatistics Automated Pattern Recognition Teoria de la informació Biomatemàtica Biometria Reconeixement de formes (Informàtica) |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-662-65875-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Surprise and Information of Descriptions: Prerequisites -- Improbability and Novelty of Descriptions -- Conditional Novelty and Information -- Coding and Information Transmission: On Guessing and Coding -- Information Transmission -- Information Rate and Channel Capacity: Stationary Processes and Information Rate -- Channel Capacity -- Shannon's Theorem -- Repertoires and Covers: Repertoires and Descriptions -- Novelty, Information and Surprise of Repertoires -- Conditioning, Mutual Information and Information Gain -- Information, Novelty and Surprise in Science: Information, Novelty and Surprise in Brain Theory -- Surprise from Repetitions and Combination of Surprises -- Entropy in Physics -- Generalized Information Theory: Order- and Lattice-Structures -- Three Orderings on Repertoires -- Information Theory on Lattices of Covers -- Bibliography -- Index. |
| Record Nr. | UNISA-996508569903316 |
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Palm Günther
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| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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