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Advanced Data Mining and Applications [[electronic resource] ] : 7th International Conference, ADMA 2011, Beijing, China, December 17-19, 2011, Proceedings, Part I / / edited by Jie Tang, Irwin King, Ling Chen, Jianyong Wang
| Advanced Data Mining and Applications [[electronic resource] ] : 7th International Conference, ADMA 2011, Beijing, China, December 17-19, 2011, Proceedings, Part I / / edited by Jie Tang, Irwin King, Ling Chen, Jianyong Wang |
| Edizione | [1st ed. 2011.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011 |
| Descrizione fisica | 1 online resource (XVIII, 426 p.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Application software Information storage and retrieval Database management Data mining Algorithms Artificial Intelligence Information Systems Applications (incl. Internet) Information Storage and Retrieval Database Management Data Mining and Knowledge Discovery Algorithm Analysis and Problem Complexity |
| ISBN | 3-642-25853-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Title -- Preface -- Organization -- Table of Contents -- Retrieval in CBR Using a Combination of Similarity and Association Knowledge -- Introduction -- Motivation -- Related Work -- Background of Similarity and Association Knowledge -- Background of Similarity Knowledge -- Background of Association Knowledge -- Association Knowledge Formalization -- The USIMSCAR Algorithm -- Evaluation -- Results and Analysis -- Conclusion and Future Work -- References -- A Clustering Approach Using Weighted Similarity Majority Margins -- Introduction -- Dual Similarity-Dissimilarity Modelling -- Pairwise Similarity and Dissimilarity Statements -- Taking into Account Strong Dissimilarities -- The Condorcet Similarity Graph -- Definition of the Clusters -- Clustering Algorithm -- Results -- Conclusions and Perspectives -- References -- A False Negative Maximal Frequent Itemset Mining Algorithm over Stream -- Introduction -- Preliminaries -- Frequent Itemsets -- Maximal Frequent Itemsets -- Chernoff Bound -- A Naive Method -- FNMFIMoDS Algorithm -- Data Structure -- Mining Strategies -- FNMFIMoDS -- Experimental Results -- Running Time Cost and Memory Cost Evaluation -- Precision and Recall -- Conclusions -- References -- A Graph Enrichment Based Clustering over Vertically Partitioned Data -- Introduction -- Problem Statement -- Graph Enrichment Based Clustering Approach -- Graph Construction -- Graph Updating -- Graph Partitioning -- Experimental Results -- Quality of the Obtained Partition -- Effect of Noise on the Enrichment Performance -- Conclusion -- References -- A Method for Finding Groups of Related Herbs in Traditional Chinese Medicine -- Introduction -- Method Overview -- Obtaining Dataset of Paired Herbs -- Data Preprocessing for TCM Digital Books -- Group Detection -- Herbal Network -- Partitioning the Network into Groups -- Experiments.
Experiments on Combinational Rule Mining -- Experiments on Community Detection -- Conclusions -- References -- A New Hybrid Clustering Method for Reducing Very Large Spatio-temporal Dataset -- Introduction -- Related Work -- Hybrid Clustering Algorithm -- Issues of SNNdegree -- New SNN-DBSCAN Algorithm -- Evaluation and Analysis -- Experiment Setup -- Analysis -- Conclusion and Future Work -- References -- A Normal Distribution-Based Over-Sampling Approach to Imbalanced Data Classification -- Introduction -- Performance Evaluation Metrics -- The Normal Distribution Model -- Experimental Results -- Conclusions -- References -- A Novel Genetic Algorithm for Overlapping Community Detection -- Introduction -- Related Work -- The New Genetic Algorithm for Community Detection -- Framework of the Algorithm -- Objective Function -- Genetic Representation -- Operators -- Discussion -- Experiments -- Experiments on Artificial Networks -- Experiments on Real Networks -- Conclusion -- References -- A Probabilistic Topic Model with Social Tags for Query Reformulation in Informational Search -- Introduction -- Related Work -- The Probabilistic Topic Model for Query Reformulation -- Topic Model with Social Tags -- Estimation of Parameters -- Retrieval and Ranking of URLs -- Experiments -- Datasets -- Methodology -- Results -- Conclusions and Future Work -- References -- A QoS-Aware Web Services Selection Model Using AND/OR Graph -- Introduction -- Basic Concepts -- Quality Criteria for Elementary Web Service -- Meta-control Logical Relation Between Services -- Composite Service Model Using AND/OR Graph -- AND/OR Graph for Composite Services -- Description of Composite Service Selection Model -- Web Service Composition Selection Algorithm Based on ACO -- Experiments and Analysis -- Example Analysis -- Experimental Results -- Conclusion and Future Work -- References. A Tweet-Centric Approach for Topic-Specific Author Ranking in Micro-Blog -- Introduction -- Motivation -- Our Work -- Related Work -- A User-Tweet Interaction Model -- Topic-Specific Author Ranking -- Reader Score Reflecting Reader's Topic-Focus Degree -- Tweet Score Measuring Tweet's Quality -- User Score Containing Reader Score and Author Score -- Author Ranking -- Experiments -- Empirical Evaluation of Author Ranking -- Effectiveness of Author Ranking -- Efficiency and Analysis of Timely Author Ranking -- Effect of Weight Settings in the User-Tweet Graph -- Conclusion -- References -- An Algorithm for Sample and Data Dimensionality Reduction Using Fast Simulated Annealing -- Introduction -- Methodological Preliminaries -- Basic Exploratory Data Mining Tasks -- Fast Simulated Annealing -- Algorithm Description -- Dimensionality Reduction -- Weighting and Sample Length Reduction -- Experimental Results -- Conclusion -- References -- An Investigation of Recursive Auto-associative Memory in Sentiment Detection -- Introduction -- Related Work -- Sentiment Detection -- Artificial Neural Networks in Natural Language Processing -- System Design and Methodology -- Implementation of RAAM -- A Single RAAM -- A RAAM Ensemble -- Triplet Tree Generation -- Data Collection and Parameter Determination -- Experiments and Results -- Similarity Detection -- Sentiment Detection -- Results on Ambiguous Words -- Conclusion and Future Work -- References -- APPECT: An Approximate Backbone-Based Clustering Algorithm for Tags -- Introduction -- Related Work -- Preliminaries -- Social Tagging System Model -- Similarity Measure -- Approximate Backbone of Tag Clustering Results -- The Details of APPECT -- Capture the Approximate Backbone -- Details of APPECT -- Time Analysis of APPECT -- Experiments and Evaluations -- Data Sets -- Evaluation Metrics. Experimental Results and Discussions -- Conclusion and Future Work -- References -- Bi-clustering Gene Expression Data Using Co-similarity -- Introduction -- The χ-Sim Algorithm -- The Algorithm -- χ-Sim as a Bi-clustering Algorithm -- Experimentation -- Experimental Methodology -- Sample Cluster Analysis -- Gene Cluster Analysis -- Related Work -- Conclusion -- References -- CCE: A Chinese Concept Encyclopedia Incorporating the Expert-Edited Chinese Concept Dictionary with Online Cyclopedias -- Introduction -- Related Work -- Chinese Concept Dictionary -- English Concept Cyclopedia Enhancement -- Construction Methodology for CCE -- Notation and Definition -- The Structure of Baidu Baike -- Method for Ontology Generation -- Semantic Distances and Similarity -- Experiments -- Experiment Setup -- Case Study of CCE -- Document Classification -- Document Clustering -- Relevance Analysis in BlogSphere -- Conclusion and Future Work -- References -- Cluster Ensembles via Weighted Graph Regularized Nonnegative Matrix Factorization -- Introduction -- Related Work -- WGNMF -- Notation -- NMF and Extensions -- Weighted Graph Regularized NMF -- Optimization -- Experiments -- Datasets -- Evaluation Criteria -- Comparison Settings -- Experimental Results -- Individual Clustering Selection -- Impact of Parameter -- Conclusion and Future Work -- References -- Continuously Identifying Representatives Out of Massive Streams -- Introduction -- Related Work -- Problem Statement -- Continuously Identifying Representatives -- Core Clustering -- Extracting Representatives -- Representatives Adjustment -- Experimental Evaluations -- Datasets -- Effectiveness -- Efficiency -- Conclusion -- References -- Cost-Sensitive Decision Tree for Uncertain Data -- Introduction -- Related Work -- Problem Definition -- Cost-Sensitive Decision Tree for Uncertain Data (CSDTU). Data Uncertainty -- Training Algorithm for CSDTU -- Testing Algorithm for CSDTU -- Experiments -- Conclusions and Future Work -- References -- Direct Marketing with Fewer Mistakes -- Introduction -- Related Work -- Most-Certain Learning (MCL) Paradigm -- MCL-b Learning Strategy -- MCL-1 Learning Strategy -- Experiment -- MCL-b Experiment -- MCL-1 Experiment -- Conclusion and Discussion -- References -- Discovering Collective Viewpoints on Micro-blogging Events Based on Community and Temporal Aspects -- Introduction -- Problem Statement -- The Framework of Mining Viewpoints -- Term-Tweet-User Graph -- Problem Definition -- Mining Viewpoints on TWU Graph -- Our Solution -- Modeling Community and Temporal Aspects -- Random Walk on TWU Graph -- Our Algorithm -- Experiments -- Dataset Description -- Evaluation Metric -- Comparison Methods -- Related Work -- Conclusions -- References -- Discriminatory Confidence Analysis in Pattern Mining -- Introduction -- Related Work -- Problem Definition -- The Design of the Information Score Filter -- Discriminatory Confidence vs. Information Score -- Empirical Study -- Discriminatory Confidence Analysis -- Correlation Analysis -- Discriminatory Rule Analysis -- Conclusion -- References -- Dominance-Based Soft Set Approach in Decision-Making Analysis -- Introduction -- Information System -- Soft Set Theory -- Dominance Relation Based Soft Set Theory -- Experiments -- Conclusion -- References -- Efficient Computation of Measurements of Correlated Patterns in Uncertain Data -- Introduction -- Related Work -- Preliminaries -- The Model for Uncertain Data -- All-Confidence and Bond -- Efficient Computation of Expected All-Confidence and Bond -- Definition of Expected All-Confidence and Bond -- Efficient Computation of Expected Bond -- Efficient Computation of All-Confidence -- Experiments and Evaluations. Evaluation Datasets. |
| Record Nr. | UNISA-996465973003316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advanced Data Mining and Applications [[electronic resource] ] : 7th International Conference, ADMA 2011, Beijing, China, December 17-19, 2011, Proceedings, Part II / / edited by Jie Tang, Irwin King, Ling Chen, Jianyong Wang
| Advanced Data Mining and Applications [[electronic resource] ] : 7th International Conference, ADMA 2011, Beijing, China, December 17-19, 2011, Proceedings, Part II / / edited by Jie Tang, Irwin King, Ling Chen, Jianyong Wang |
| Edizione | [1st ed. 2011.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011 |
| Descrizione fisica | 1 online resource (XVII, 419 p.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Application software Information storage and retrieval Database management Data mining Algorithms Artificial Intelligence Information Systems Applications (incl. Internet) Information Storage and Retrieval Database Management Data Mining and Knowledge Discovery Algorithm Analysis and Problem Complexity |
| ISBN | 3-642-25856-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996466272603316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in Neural Networks – ISNN 2014 [[electronic resource] ] : 11th International Symposium on Neural Networks, ISNN 2014, Hong Kong and Macao, China, November 28 -- December 1, 2014. Proceedings / / edited by Zhigang Zeng, Yangmin Li, Irwin King
| Advances in Neural Networks – ISNN 2014 [[electronic resource] ] : 11th International Symposium on Neural Networks, ISNN 2014, Hong Kong and Macao, China, November 28 -- December 1, 2014. Proceedings / / edited by Zhigang Zeng, Yangmin Li, Irwin King |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (XVI, 649 p. 237 illus.) |
| Disciplina | 006.32 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Pattern recognition systems
Data mining Artificial intelligence Computer vision Algorithms Neural networks (Computer science) Automated Pattern Recognition Data Mining and Knowledge Discovery Artificial Intelligence Computer Vision Mathematical Models of Cognitive Processes and Neural Networks |
| ISBN | 3-319-12436-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Analysis -- A Less Conservative Guaranteed Cost Stabilization of Time-varying Delayed CNNs -- Existence and Uniqueness of almost Automorphic Solutions to Cohen-Grossberg Neural Networks with Delays -- A Proof of a Key Formula in the Error-backpropagation Learning Algorithm for Multiple Spiking Neural Networks -- Anti-Synchronization Control for Memristor-Based Recurrent Neural Networks -- Adaptive Pinning Synchronization of Coupled Inertial Delayed Neural Networks -- The Relationship between Neural Avalanches and Neural Oscillations -- Reinforcement-Learning-Based Controller Design for Nonafine Nonlinear Systems -- Multistability and Multiperiodicity Analysis of Complex-valued Neural Networks -- Exponential Synchronization of Coupled Stochastic and Switched Neural Networks with Impulsive Effects -- The Research of Building Indoor Temperature Prediction Based on Support Vector Machine -- Towards the Computation of A Nash Equilibrium -- Sensorless PMSM Speed Control Based on NN Adaptive System Observer -- Neural-Network-Based Adaptive Fault Estimation for a Class of Interconnected Nonlinear System with Triangular Forms -- Big Data Matrix Singular Value Decomposition Based on Low-Rank Tensor Train Decomposition -- CSP-Based EEG Analysis on Dissociated Brain Organization for Single-Digit Addition and Multiplication -- Lazy Fully Probabilistic Design of Decision Strategies -- Memristive Radial Basis Function Neural Network for Parameters Adjustment of PID Controller -- Finite-Time Stability of Switched Static Neural Networks -- Fixed-priority Scheduling Policies and their Non-utilization Bounds -- Modeling Dynamic Hysteresis of Smart Actuators with Fuzzy Tree -- Neurodynamics-based Model Predictive Control for Trajectory Tracking of Autonomous Underwater Vehicles -- Feedback-Dependence of Correlated Firing in Globally Coupled Networks -- Wilcox on-Norm-Based Robust Extreme Learning Machine -- Modeling -- An Artificial Synaptic Plasticity Mechanism for Classical Conditioning with Neural Networks -- An Application of Dynamic Regression Model and Residual Auto-regressive Model in Time Series -- Reweighted l2-Regularized Dual Averaging Approach for Highly Sparse Stochastic Learning -- Perceptual Learning Model on Recognizing Chinese Characters -- Hierarchical Solving Method for Large Scale TSP Problems -- Gaussian Process Learning: A Divide-and-Conquer Approach -- A Kernel ELM Classifier for High-resolution Remotely Sensed Imagery Based on Multiple Features -- Early-Stopping Regularized Least-Squares Classification -- Z-Type Model for Real-Time Solution of Complex ZLE -- A Dynamic Generation Approach for Ensemble of Extreme Learning Machines -- Saliency Detection: A Divisive Normalization Approach -- A Novel Neural Network Based Adaptive Control for A Class of Uncertain Strict-Feedback Nonlinear Systems -- Rough Sets Theory Approach to Extenics Risk Assessment Model in Social Risk -- Kernel Parameter Optimization for KFDA Based on Maximum Margin Criterion -- A Polynomial Time Solvable Algorithm to Binary Quadratic Programming Problems with Q being a Seven-Diagonal Matrix and its Neural Network Implementation -- A New Nonlinear Neural Network for Solving QP Problems -- Untrained Method for Ensemble Pruning and Weighted Combination -- An Improved Learning Algorithm with Tunable Kernels for Complex-Valued Radial Basis Function Neural Networks -- Combined Methodology Based on Kernel Regression and Kernel Density Estimation for Sign Language Machine Translation -- Adaptive Intelligent Control for Continuous Stirred Tank Reactor with Output Constraint -- Applications -- Modeling and Application of Principal Component Analysis in Industrial Boiler -- An Orientation Column-inspired Contour Representation and its Application in Shape-based Recognition -- Region Based Image Preprocessor for Feed-Forward Perception Based Systems -- Image Denoising with Signal Dependent Noise using Block Matching and 3D Filtering -- Different-Level Simultaneous Minimization with Aid of Ma Equivalence for Robotic Redundancy Resolution -- Content-Adaptive Rain and Snow Removal Algorithms for Single Image -- Data-Driven Bridge Detection in Compressed Domain from Panchromatic Satellite Imagery -- Fast Nonnegative Tensor Factorization By Using Accelerated Proximal Gradient -- Multiclassifier System with Fuzzy Inference Method Applied to the Recognition of Biosignals in the Control of Bioprosthetic Hand -- Target Detection Using Radar in Heavy Sea Clutter by Polarimetric Analysis and Neural Network -- Human Action Recognition Based on Difference Silhouette and Static Reservoir -- Metric-Based Multi-Task Grouping Neural Network for Traffic Flow.-Forecasting -- Object Tracking with A Novel Method Based on FS-CBWH within Mean-Shift Framework -- Bayesian Covariance Tracking with Adaptive Feature Selection -- Single-Trial Detection of Error-Related Potential by One-Unit SOBI-R in SSVEP-based BCI -- Generalized Regression Neural Networks with K-Fold Cross-Validation for Displacement of Landslide Forecasting -- One-Class Classification Ensemble with Dynamic Classifier Selection -- A Massive Sensor Data Streams Multi-dimensional Analysis Strategy -- Using Progressive Logarithmic Tilted Time Frame for Cloud-Based Monitoring Application -- Evolutionary Clustering Detection of Similarity in Neuronal Spike Patterns -- Fast and Effective Image Segmentation via Superpixels and Adaptive Thresholding -- Diagonal Log-normal Generalized RBF Neural Network for Stock Price Prediction -- Design of a Greedy V2G Coordinator Achieving Microgrid-level Load Shift -- PolSAR Image Segmentation Based on the Modified Non-negative -- Matrix Factorization and Support Vector Machine -- Solving Path Planning of UAV Based on Modified Multi-Population Differential Evolution Algorithm -- Consensus for Higher-order Multi-agent Networks with External Disturbances -- The Research of Document Clustering Topical Concept Based on Neural Networks -- The Research of Reducing Misregistration Based on Image Mosaicing -- A Parallel Image Segmentation Method Based on SOM and GPU with Application to MRI Image Processing. |
| Record Nr. | UNISA-996210539503316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in Neural Networks – ISNN 2014 : 11th International Symposium on Neural Networks, ISNN 2014, Hong Kong and Macao, China, November 28 -- December 1, 2014. Proceedings / / edited by Zhigang Zeng, Yangmin Li, Irwin King
| Advances in Neural Networks – ISNN 2014 : 11th International Symposium on Neural Networks, ISNN 2014, Hong Kong and Macao, China, November 28 -- December 1, 2014. Proceedings / / edited by Zhigang Zeng, Yangmin Li, Irwin King |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (XVI, 649 p. 237 illus.) |
| Disciplina | 006.32 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Pattern recognition systems
Data mining Artificial intelligence Computer vision Algorithms Neural networks (Computer science) Automated Pattern Recognition Data Mining and Knowledge Discovery Artificial Intelligence Computer Vision Mathematical Models of Cognitive Processes and Neural Networks |
| ISBN | 3-319-12436-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Analysis -- A Less Conservative Guaranteed Cost Stabilization of Time-varying Delayed CNNs -- Existence and Uniqueness of almost Automorphic Solutions to Cohen-Grossberg Neural Networks with Delays -- A Proof of a Key Formula in the Error-backpropagation Learning Algorithm for Multiple Spiking Neural Networks -- Anti-Synchronization Control for Memristor-Based Recurrent Neural Networks -- Adaptive Pinning Synchronization of Coupled Inertial Delayed Neural Networks -- The Relationship between Neural Avalanches and Neural Oscillations -- Reinforcement-Learning-Based Controller Design for Nonafine Nonlinear Systems -- Multistability and Multiperiodicity Analysis of Complex-valued Neural Networks -- Exponential Synchronization of Coupled Stochastic and Switched Neural Networks with Impulsive Effects -- The Research of Building Indoor Temperature Prediction Based on Support Vector Machine -- Towards the Computation of A Nash Equilibrium -- Sensorless PMSM Speed Control Based on NN Adaptive System Observer -- Neural-Network-Based Adaptive Fault Estimation for a Class of Interconnected Nonlinear System with Triangular Forms -- Big Data Matrix Singular Value Decomposition Based on Low-Rank Tensor Train Decomposition -- CSP-Based EEG Analysis on Dissociated Brain Organization for Single-Digit Addition and Multiplication -- Lazy Fully Probabilistic Design of Decision Strategies -- Memristive Radial Basis Function Neural Network for Parameters Adjustment of PID Controller -- Finite-Time Stability of Switched Static Neural Networks -- Fixed-priority Scheduling Policies and their Non-utilization Bounds -- Modeling Dynamic Hysteresis of Smart Actuators with Fuzzy Tree -- Neurodynamics-based Model Predictive Control for Trajectory Tracking of Autonomous Underwater Vehicles -- Feedback-Dependence of Correlated Firing in Globally Coupled Networks -- Wilcox on-Norm-Based Robust Extreme Learning Machine -- Modeling -- An Artificial Synaptic Plasticity Mechanism for Classical Conditioning with Neural Networks -- An Application of Dynamic Regression Model and Residual Auto-regressive Model in Time Series -- Reweighted l2-Regularized Dual Averaging Approach for Highly Sparse Stochastic Learning -- Perceptual Learning Model on Recognizing Chinese Characters -- Hierarchical Solving Method for Large Scale TSP Problems -- Gaussian Process Learning: A Divide-and-Conquer Approach -- A Kernel ELM Classifier for High-resolution Remotely Sensed Imagery Based on Multiple Features -- Early-Stopping Regularized Least-Squares Classification -- Z-Type Model for Real-Time Solution of Complex ZLE -- A Dynamic Generation Approach for Ensemble of Extreme Learning Machines -- Saliency Detection: A Divisive Normalization Approach -- A Novel Neural Network Based Adaptive Control for A Class of Uncertain Strict-Feedback Nonlinear Systems -- Rough Sets Theory Approach to Extenics Risk Assessment Model in Social Risk -- Kernel Parameter Optimization for KFDA Based on Maximum Margin Criterion -- A Polynomial Time Solvable Algorithm to Binary Quadratic Programming Problems with Q being a Seven-Diagonal Matrix and its Neural Network Implementation -- A New Nonlinear Neural Network for Solving QP Problems -- Untrained Method for Ensemble Pruning and Weighted Combination -- An Improved Learning Algorithm with Tunable Kernels for Complex-Valued Radial Basis Function Neural Networks -- Combined Methodology Based on Kernel Regression and Kernel Density Estimation for Sign Language Machine Translation -- Adaptive Intelligent Control for Continuous Stirred Tank Reactor with Output Constraint -- Applications -- Modeling and Application of Principal Component Analysis in Industrial Boiler -- An Orientation Column-inspired Contour Representation and its Application in Shape-based Recognition -- Region Based Image Preprocessor for Feed-Forward Perception Based Systems -- Image Denoising with Signal Dependent Noise using Block Matching and 3D Filtering -- Different-Level Simultaneous Minimization with Aid of Ma Equivalence for Robotic Redundancy Resolution -- Content-Adaptive Rain and Snow Removal Algorithms for Single Image -- Data-Driven Bridge Detection in Compressed Domain from Panchromatic Satellite Imagery -- Fast Nonnegative Tensor Factorization By Using Accelerated Proximal Gradient -- Multiclassifier System with Fuzzy Inference Method Applied to the Recognition of Biosignals in the Control of Bioprosthetic Hand -- Target Detection Using Radar in Heavy Sea Clutter by Polarimetric Analysis and Neural Network -- Human Action Recognition Based on Difference Silhouette and Static Reservoir -- Metric-Based Multi-Task Grouping Neural Network for Traffic Flow.-Forecasting -- Object Tracking with A Novel Method Based on FS-CBWH within Mean-Shift Framework -- Bayesian Covariance Tracking with Adaptive Feature Selection -- Single-Trial Detection of Error-Related Potential by One-Unit SOBI-R in SSVEP-based BCI -- Generalized Regression Neural Networks with K-Fold Cross-Validation for Displacement of Landslide Forecasting -- One-Class Classification Ensemble with Dynamic Classifier Selection -- A Massive Sensor Data Streams Multi-dimensional Analysis Strategy -- Using Progressive Logarithmic Tilted Time Frame for Cloud-Based Monitoring Application -- Evolutionary Clustering Detection of Similarity in Neuronal Spike Patterns -- Fast and Effective Image Segmentation via Superpixels and Adaptive Thresholding -- Diagonal Log-normal Generalized RBF Neural Network for Stock Price Prediction -- Design of a Greedy V2G Coordinator Achieving Microgrid-level Load Shift -- PolSAR Image Segmentation Based on the Modified Non-negative -- Matrix Factorization and Support Vector Machine -- Solving Path Planning of UAV Based on Modified Multi-Population Differential Evolution Algorithm -- Consensus for Higher-order Multi-agent Networks with External Disturbances -- The Research of Document Clustering Topical Concept Based on Neural Networks -- The Research of Reducing Misregistration Based on Image Mosaicing -- A Parallel Image Segmentation Method Based on SOM and GPU with Application to MRI Image Processing. |
| Record Nr. | UNINA-9910483660903321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Behavior and Social Computing [[electronic resource] ] : International Workshop on Behavior and Social Informatics, BSI 2013, Gold Coast, Australia, April 14-17, and International Workshop on Behavior and Social Informatics and Computing, BSIC 2013, Beijing, China, August 3-9, 2013, Revised Selected Papers / / edited by Longbing Cao, Hiroshi Motoda, Jaideep Srivastava, Ee-peng Lim, Irwin King, Philip S. Yu, Wolfgang Nejdl, Guandong Xu, Gang Li, Ya Zhang
| Behavior and Social Computing [[electronic resource] ] : International Workshop on Behavior and Social Informatics, BSI 2013, Gold Coast, Australia, April 14-17, and International Workshop on Behavior and Social Informatics and Computing, BSIC 2013, Beijing, China, August 3-9, 2013, Revised Selected Papers / / edited by Longbing Cao, Hiroshi Motoda, Jaideep Srivastava, Ee-peng Lim, Irwin King, Philip S. Yu, Wolfgang Nejdl, Guandong Xu, Gang Li, Ya Zhang |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XIV, 265 p. 118 illus.) |
| Disciplina | 303.4833 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Application software Information storage and retrieval Computer communication systems Database management Artificial Intelligence Information Systems Applications (incl. Internet) Information Storage and Retrieval Computer Appl. in Social and Behavioral Sciences Computer Communication Networks Database Management |
| ISBN | 3-319-04048-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Behavior/social-oriented analyses including behavioral and social interaction and network -- Behavioral/social patterns -- Behavioral/social impacts.- The formation of behavioral/social-Oriented groups and collective intelligence.- Behavioral/social Intelligence emergence. |
| Record Nr. | UNISA-996465326203316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Behavior and Social Computing : International Workshop on Behavior and Social Informatics, BSI 2013, Gold Coast, Australia, April 14-17, and International Workshop on Behavior and Social Informatics and Computing, BSIC 2013, Beijing, China, August 3-9, 2013, Revised Selected Papers / / edited by Longbing Cao, Hiroshi Motoda, Jaideep Srivastava, Ee-peng Lim, Irwin King, Philip S. Yu, Wolfgang Nejdl, Guandong Xu, Gang Li, Ya Zhang
| Behavior and Social Computing : International Workshop on Behavior and Social Informatics, BSI 2013, Gold Coast, Australia, April 14-17, and International Workshop on Behavior and Social Informatics and Computing, BSIC 2013, Beijing, China, August 3-9, 2013, Revised Selected Papers / / edited by Longbing Cao, Hiroshi Motoda, Jaideep Srivastava, Ee-peng Lim, Irwin King, Philip S. Yu, Wolfgang Nejdl, Guandong Xu, Gang Li, Ya Zhang |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XIV, 265 p. 118 illus.) |
| Disciplina | 303.4833 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Application software Information storage and retrieval Computer communication systems Database management Artificial Intelligence Information Systems Applications (incl. Internet) Information Storage and Retrieval Computer Appl. in Social and Behavioral Sciences Computer Communication Networks Database Management |
| ISBN | 3-319-04048-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Behavior/social-oriented analyses including behavioral and social interaction and network -- Behavioral/social patterns -- Behavioral/social impacts.- The formation of behavioral/social-Oriented groups and collective intelligence.- Behavioral/social Intelligence emergence. |
| Record Nr. | UNINA-9910484236503321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Pattern Recognition and Machine Intelligence : 9th International Conference, PReMI 2021, Kolkata, India, December 15-18, 2021, Proceedings
| Pattern Recognition and Machine Intelligence : 9th International Conference, PReMI 2021, Kolkata, India, December 15-18, 2021, Proceedings |
| Autore | Ghosh Ashish |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2024 |
| Descrizione fisica | 1 online resource (639 pages) |
| Altri autori (Persone) |
KingIrwin
BhattacharyyaMalay Sankar RayShubhra K. PalSankar |
| Collana | Lecture Notes in Computer Science Series |
| ISBN | 9783031127007 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Keynote Talks -- Recent Advances in the Deep CNN Neocognitron -- A Synergy of Evolution and Learning -- Invited Talks -- Explorations in Simulating Future Activity on Social Networks -- Recent Research Topics in Evolutionary Multiobjective Optimization: A Personal Perspective -- Tutorial Talks -- Spatial Data Science and Applications -- Document Image Analysis and Its Recent Trends -- Bone Microarchitectural Imaging in Osteoporosis - Recent Developments and Translational Studies -- Special Talk -- Early Gastric Cancer Detection by Deep Learning -- Industrial Talks -- AI Startups - An Indian Perspective -- Machine Reasoning -- Contents -- Image Processing -- Image Quality Assessment Using Combination of Deep Convolutional Neural Networks -- 1 Introduction -- 2 Deep CNN for IQA -- 2.1 Deep CNN Based Conventional NR-IQA -- 2.2 Proposed Combination of Deep CNNs for NR-IQA -- 3 Experiments -- 4 Conclusion -- References -- Blind Image Forgery Detection Using LBP and Statistical Moments -- 1 Introduction -- 2 Related Works -- 3 Proposed Work -- 3.1 Pre-processing -- 3.2 Local Binary Pattern Based Features from DWT Domain -- 3.3 Statistical Feature Extraction from DWT Domain -- 3.4 Ensemble Classifier -- 4 Experimental Results -- 4.1 Results and Discussion -- 4.2 Comparative Analysis -- 5 Conclusion -- References -- Edge Detection in Gray Scale Images Using Partial Sum of Second Order Taylor Series Expansion -- 1 Introduction -- 2 TSE Based Edge Detection -- 3 Experimental Analysis -- 4 Conclusion -- References -- Image Re-attentionizing Using Particle Swarm Optimization -- 1 Introduction -- 2 Image Re-attentionizing as an Optimization Problem -- 3 Proposed Method of Enhancing Saliency -- 3.1 Identifying the Known Variable Values -- 3.2 Finding Modified Feature Values of the Target Using PSO.
3.3 Reviving the Appearance for Intended Segment -- 4 Experimental Validation -- 4.1 Validation Through Saliency Map -- 4.2 Validation Through Eye-Tracking -- 5 Conclusion -- References -- Auto-Encoder Guided Attention Based Network for Hyperspectral Recovery from Real RGB Images -- 1 Introduction -- 2 Methodology -- 3 Experimental Results -- 3.1 Dataset Details -- 3.2 Result Analysis -- 4 Conclusions -- References -- Text, Voice and Video Processing -- Raga Classification in Carnatic Music Using Audio Thumbnailing -- 1 Introduction -- 2 Survey of Literature -- 3 Proposed Methodology -- 3.1 Compute SSM -- 3.2 Enhance SSM -- 3.3 Fitness Score -- 4 Implementation and Results -- 4.1 Dataset -- 5 Conclusion and Future Work -- References -- Wavelet Residual Learning for Efficient Future Frame Prediction from Natural Video Sequences -- 1 Introduction -- 2 Proposed Method -- 2.1 Brief Basics of Discrete Wavelet Transform -- 2.2 Network Architecture -- 2.3 Loss Function -- 3 Experiments -- 3.1 Datasets and Implementation Details -- 3.2 Quantitative and Qualitative Evaluation -- 3.3 Ablation Study -- 4 Conclusion -- References -- Voice Privacy Through Time-Scale and Pitch Modification -- 1 Introduction -- 2 Anonymization Using Time-Scale Modification -- 2.1 Speed Perturbation -- 2.2 Tempo Perturbation -- 2.3 Pitch (F0) Perturbation -- 2.4 Spectrum and Pitch Contour Analysis -- 3 Experimental Setup -- 3.1 Dataset -- 3.2 Baseline System -- 3.3 Objective Evaluation -- 4 Experimental Results -- 5 Summary and Conclusions -- References -- Abusive Speech Detection and Politeness Transfer -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Data Aggregation -- 3.2 Data Preprocessing -- 3.3 Vectorization -- 3.4 Word Embeddings -- 3.5 Baseline Models -- 3.6 State of the Art Models -- 3.7 Hybrid Model for Abusive Speech Classification. 3.8 Politeness Transfer Using BERT -- 4 Results and Analysis -- 5 Conclusion and Future Work -- References -- Voice Liveness Detection Using Bump Wavelet with CNN -- 1 Introduction -- 2 Proposed Approach -- 3 Experimental Setup -- 3.1 Database Used -- 3.2 Classifier Used: Convolutional Neural Network (CNN) -- 4 Experimental Results -- 5 Summary and Conclusions -- References -- Bioinformatics -- Classification of Task Evoked fMRI Signals Using Temporal Characteristics of Brain Regions -- 1 Introduction -- 2 Methodology -- 2.1 fMRI Dataset -- 2.2 Pre-processing and Parcellation -- 2.3 Feature Generation -- 2.4 Temporal Consistency in Activation Level - TCAL -- 2.5 Classification -- 3 Experimental Results and Discussion -- 3.1 Parameter Selection for TCAL -- 3.2 Performance of Features -- 3.3 Analysis of TCAL -- 4 Conclusion -- References -- Ensemble Models for Multi-class Classification of Diabetic Retinopathy -- 1 Introduction -- 1.1 Different Classes of Diabetic Retinopathy (DR) -- 2 Literature Review -- 3 Proposed Method -- 3.1 Data Preprocessing -- 3.2 Data Augmentation -- 3.3 Transfer Learning-Pretrained Models -- 4 Experimental Results -- 4.1 Dataset -- 4.2 Results -- 4.3 Conclusions -- References -- Identification of Potential Biomarkers Using Integrative Approach: An Application of ESCC -- 1 Introduction -- 2 Related Work -- 3 Proposed DE Framework -- 4 Performance Evaluation -- 4.1 Results on RNA-Seq -- 4.2 Results on Microarray -- 4.3 Validation -- 5 Conclusion -- References -- Autoencoder Assisted Cancer Subtyping by Integrating Multi-omics Data -- 1 Introduction -- 2 Experimental Details -- 2.1 Datasets -- 2.2 Proposed Autoencoder Architecture -- 2.3 Proposed Autoencoder Assisted Cancer Subtyping -- 3 Results -- 3.1 Cluster Evaluation -- 3.2 Biological Evaluation -- 4 Conclusion -- References. ADHDNet: A DNN Based Framework for Efficient ADHD Detection from fMRI Dataset -- 1 Introduction -- 2 Related Works and Concepts -- 3 Proposed Framework -- 4 Experiments and Results -- 5 Conclusion and Future Work -- References -- Deep Learning -- Multi-stage Transfer Learning Based Yoga Pose Recognition Using CNN -- 1 Introduction -- 2 Proposed Method -- 3 Dataset and Training Methodology -- 4 Results and Discussions -- 5 Conclusion -- References -- Autoencoder and Extreme Learning Machine Based Deep Multi-label Classifier -- 1 Introduction -- 2 Related Works -- 3 Proposed Work -- 3.1 Feature Reduction by DAE -- 3.2 Sequential Classification by S-MLELM -- 3.3 Architecture -- 4 Results and Discussion -- 4.1 Experimental Analysis -- 5 Conclusion -- References -- Neural Pooling for Graph Neural Networks -- 1 Introduction -- 2 Related Work -- 2.1 Graph Neural Networks -- 2.2 Graph Pooling -- 3 Methodology -- 3.1 Properties of Graph Pooling -- 3.2 Neural Pooling Method 1 -- 3.3 Neural Pooling Method 2 -- 4 Experimental Setup -- 4.1 Datasets -- 4.2 Training and Evaluation -- 5 Results and Discussion -- 6 Complexity -- 7 Conclusion -- References -- Pedestrian Detection and Movement Direction Recognition with Convolutional Neural Network -- 1 Introduction -- 2 Related Work -- 3 Dataset Description -- 4 Material and Methods -- 4.1 Pedestrian Detection -- 4.2 Movement Direction Recognition -- 5 Results and Discussion -- 6 Conclusion -- References -- Deep Learning Based Tree Detection and Counting for Remotely Sensed Images -- 1 Introduction -- 1.1 Remote Sensing -- 2 Concepts Used -- 2.1 Convolutional Neural Network (CNN/ConvNet) ch20cnnone,ch20cnntwo -- 2.2 Chlorophyll and Near Infrared Radiation -- 2.3 Sliding Window Technique -- 3 Study Area and Datasets -- 4 Methodology -- 5 Results -- 5.1 Tree Detection and Counting -- 6 Limitations -- 7 Conclusions. 8 Direction for Future Work -- References -- CateReR: A Graph Neural Network-Based Model for Category-Wise Reliability-Aware Recommendation -- 1 Introduction -- 1.1 Motivation -- 1.2 Related Work -- 1.3 Contribution -- 2 Proposed Framework: CateReR -- 2.1 Problem Statement -- 2.2 An Overview of CateReR -- 2.3 Category-Specific User Reliability Modeling -- 2.4 Missing Rating Prediction -- 3 Experiments -- 3.1 Datasets -- 3.2 Baselines and Experimental Settings -- 3.3 Results and Discussion -- 4 Conclusion and Future Work -- References -- Medical Image Processing -- Attention Assisted Patch-Wise CNN for the Segmentation of Fluids from the Retinal Optical Coherence Tomography Images -- 1 Introduction -- 2 Methodology -- 2.1 Dataset and Data Preprocessing -- 2.2 Network Architecture -- 3 Results and Discussion -- 4 Conclusion -- References -- A Reinforcement Learning Framework for Lung Segmentation of COVID-19 and Pneumonia Affected Chest X-Ray Image -- 1 Introduction -- 2 Related Works -- 3 Lung Segmentation -- 3.1 Image Pre-processing -- 3.2 Policy Gradient Method -- 3.3 Feature Extraction -- 3.4 The U-Net Architecture -- 4 Experimental Results -- 4.1 Dataset -- 4.2 Lung Segmentation Task -- 5 Conclusions -- References -- Deep and Bio-Inspired Spiking Neural Networks Based Optimized Multi-modal Neurological Image Fusion Model -- 1 Introduction -- 2 Methodology -- 2.1 VGG-16 Network -- 2.2 Coupled Neural P System -- 2.3 Whale Optimization Algorithm -- 3 Proposed Fusion Method -- 4 Results and Discussion -- 4.1 Dataset and Experimental Settings -- 4.2 Subjective and Parametric Result Analysis -- 5 Conclusion -- References -- Model Compression Techniques for Atrial Fibrillation Detection on Mobile Devices -- 1 Introduction -- 2 Methodology -- 3 Experimental Setup and Results -- 4 Conclusion and Future Work -- References. Speckle De-noising with Local Oriented Structure for Edge Preservation in Ultrasound Images. |
| Record Nr. | UNINA-9910874684103321 |
Ghosh Ashish
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| Cham : , : Springer International Publishing AG, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Point-of-Interest Recommendation in Location-Based Social Networks / / by Shenglin Zhao, Michael R. Lyu, Irwin King
| Point-of-Interest Recommendation in Location-Based Social Networks / / by Shenglin Zhao, Michael R. Lyu, Irwin King |
| Autore | Zhao Shenglin |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (IX, 101 p. 38 illus.) |
| Disciplina | 006.312 |
| Collana | SpringerBriefs in Computer Science |
| Soggetto topico |
Data mining
Application software Multimedia information systems Artificial intelligence Geographical information systems Data Mining and Knowledge Discovery Information Systems Applications (incl. Internet) Multimedia Information Systems Artificial Intelligence Geographical Information Systems/Cartography |
| ISBN |
981-13-1349-0
978-981-13-1349-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910299304103321 |
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Zhao Shenglin
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| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Proceedings of the 2nd Acm Workshop on Social Web Search and Mining
| Proceedings of the 2nd Acm Workshop on Social Web Search and Mining |
| Autore | King Irwin <1961-> |
| Pubbl/distr/stampa | [Place of publication not identified] : , : Association for Computing Machinery, , 2009 |
| Descrizione fisica | 1 online resource (78 pages) |
| Collana | ACM Conferences. |
| Soggetto topico | Information Technology - Computer Science (Hardware & Networks) |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | SWSM '09 |
| Record Nr. | UNINA-9910376063903321 |
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King Irwin <1961->
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| [Place of publication not identified] : , : Association for Computing Machinery, , 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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