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Titolo: |
Neural Information Processing [[electronic resource] ] : 18th International Conference, ICONIP 2011, Shanghai,China, November 13-17, 2011, Proceedings, Part III / / edited by Bao-Liang Lu, Liqing Zhang, James Kwok
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Pubblicazione: | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011 |
Edizione: | 1st ed. 2011. |
Descrizione fisica: | 1 online resource (XXII, 790 p.) |
Disciplina: | 006.32 |
Soggetto topico: | Computer science |
Artificial intelligence | |
Pattern recognition systems | |
Data mining | |
Computer simulation | |
Computer vision | |
Theory of Computation | |
Artificial Intelligence | |
Automated Pattern Recognition | |
Data Mining and Knowledge Discovery | |
Computer Modelling | |
Computer Vision | |
Persona (resp. second.): | LuBao-Liang |
ZhangLiqing | |
KwokJames | |
Note generali: | Bibliographic Level Mode of Issuance: Monograph |
Nota di contenuto: | Intro -- Title -- Preface -- ICONIP 2011 Organization -- Table of Contents -- Multi-agent Systems -- Multimodal Identity Verification Based on Learning Face and Gait Cues -- Introduction -- Background -- Multimodal Identification Scheme -- Experimental Results and Discussion -- Recognition Performance with PCA-Features -- Recognition Accuracies with PCA-LDA Features -- Conclusions and Further Scope -- References -- Robust Control of Nonlinear System Using Difference Signals and Multiple Competitive Associative Nets -- Introduction -- Control Method Using Difference Signals and Multiple CAN2s -- Plant Model Using Difference Signals -- CAN2 Using Difference Signals and Relation to Parameter Change -- GPC for Difference Signals -- Iterations of Control and Learning -- Switching Multiple CAN2s to Cope with Parameter Change -- Numerical Experiments of Crane System -- Overhead Traveling Crane System -- Parameter Settings -- Results and Remarks -- Conclusion -- References -- Selective Track Fusion -- Introduction -- System Description -- Outlier Elimination -- Heuristics Function Construction -- Selective Track Fusion -- The Basic Idea of STF -- Track State Estimation Fusion -- Experimental Results and Analysis -- Conclusion -- References -- The Bystander Effect: Agent-Based Simulation of People's Reaction to Norm Violation -- Introduction -- Bystander Effect -- Related Work -- Social Psychology -- Agent-Based Simulation -- Modelling Approach -- Simulation Model -- Case Studies -- Description -- Example Simulation Traces -- Discussion -- References -- Multi Agent Carbon Trading Incorporating Human Traits and Game Theory -- Introduction -- The Proposed Model -- Coding Trader Traits in Computer Agents -- The Two Stage Trading Algorithm -- Experiment Setup -- Results and Discussions -- Conclusions and Future Work -- References. |
Fast and Incremental Neural Associative Memory Based Approach for Adaptive Open-Loop Structural Control in High-Rise Buildings -- Introduction -- Problem Definition and Related Works -- Proposed Approach -- Feature Representation -- Online Incremental Neural Associative Memory [12] -- Experiments and Results -- Conclusion -- References -- Emergence of Leadership in Evolving Robot Colony -- Introduction -- Related Works -- Modeling Evolutionary Robot Colony -- Overview -- Social Position -- Behavior Control and Evolution -- Experimental Design -- Assignments Design -- Settings -- Results and Analysis -- Conclusion and Future Works -- References -- Emergence of Purposive and Grounded Communication through Reinforcement Learning -- Introduction -- Reinforcement Learning with a Neural Network -- Learning of Purposive and Grounded Communication -- System Architecture and Robot Control Task -- Effect of Preparation Learning -- Correlation between Communication Signals and Motions -- Experiment -- Conclusion -- References -- An Action Selection Method Based on Estimation of Other's Intention in Time-Varying Multi-agent Environments -- Introduction -- Reinforcement Learning -- Intention Estimation Levels and Their Application to Reinforcement Learning -- Intention Estimation Levels -- Application to Reinforcement Learning -- Computer Simulation -- Problem Setting -- Simulation Setting -- Simulation Results -- Summary -- References -- Describing Human Identity Using Attributes -- Introduction -- Our Approach -- Target Human Modeling and Body Attribute Learning -- Appearance Attribute Model -- Attribute-Loss -- Experiment -- Data Set -- Implementation Details and Results -- Conclusion -- References -- Visual Information of Endpoint Position Is Not Required for Prism Adaptation of Shooting Task -- Introduction -- Experiment 1 -- Apparatus -- Method. | |
Conditions -- Result and Discussion -- Experiment 2 -- Method -- Conditions -- Result and Discussion -- Concluding Remark -- References -- Q-Learning with Double Progressive Widening: Application to Robotics -- Introduction -- Progressive Widening Q-Learning -- Q-Learning Approach -- Applying Double Progressive Widening to Q-Learning -- Experiments -- Treasure Hunt Problem -- Robot Navigation in a 3D Partially Observable Environment -- Conclusion -- References -- Natural Language Processing and Intelligent Web Information Processing -- User Identification for Instant Messages -- Introduction -- Related Work -- Verification Problem -- Features -- User Identification for IM Messages -- Feature Selection and Extraction -- Model Generation -- Experiment Result -- Conclusion -- References -- Using Hybrid Kernel Method for Question Classification in CQA -- Introduction -- Question Classification Problem in CQA -- Category for Question Classification -- Question Multi-label Classification -- The Hybrid Kernel Method for Question Multi-label Classification -- Polynomial Kernels -- Tree Kernels -- Experiment for Question Multi-label Classification -- Data for Experiment -- Experiment for Question Multi-label Classification -- Question Paraphrase Recognition -- Conclusion -- References -- Towards Understanding Spoken Tunisian Dialect -- Introduction -- Tunisian Dialect -- Building Ontologies -- Lexical Specification -- Standardization -- Formalization -- Semantic Annotation -- Semantic Interpretation -- Results -- Conclusion -- References -- Topic Modeling of Chinese Language Using Character-Word Relations -- Introduction -- Character-Word Structure in Topic Modeling -- Generative Model -- Likelihood -- Inference -- Document Likelihood -- Collapsed Sampler -- Estimate Topics over Chinese Characters -- Experimental Studies -- Data Descriptions. | |
Extracted Topics and Document Classification -- Conclusions -- References -- Enrichment and Reductionism: Two Approaches for Web Query Classification -- Introduction -- Related Work -- Web Query Classification Approaches -- Enrichment Approach -- Reductionist Approach -- Experiment -- Conclusion -- References -- Dynamic Template Based Online Event Detection -- Introduction -- Dynamic Template Based Event Detection -- Pre-processing of Web Document -- General Framework of DTED Algorithm -- Similarity Function -- Experimental Setup -- Datasets and Evaluation Metrics -- Experiments and Discussion -- Events Detection Results -- DTED Algorithm Discussion -- Online System for Large Scale Corpus Building -- Conclusion and Future Work -- References -- Effect of Dimensionality Reduction on Different Distance Measures in Document Clustering -- Introduction -- Methods -- Dimensionality Reduction -- Distance Measures -- K-Means Clustering -- Experiments -- Data and Preprocessing -- Results -- Conclusions -- References -- Diversifying Question Recommendations in Community-Based Question Answering -- Introduction -- Diversification Algorithm of Question Recommendation -- Problem Definition -- Question Recommendation Procedure -- Evaluation and Discussions -- Experiment Dataset and Settings -- Experimental Results -- Conclusions -- References -- Neural Encoding and Decoding -- Classification of Multi-spike Trains and Its Application in Detecting Task Relevant Neural Cliques -- Introduction -- Multi-spike Trains Classification -- Spike Train Transformation -- Estimating Inhomogeneous Poisson Process -- Bayesian Rules for Matching Value -- Integrating Strategy -- Multi-Spike Trains Classification Results -- Detection of Task Relevant Neural Cliques -- Discussion -- References. | |
Dreaming Your Fear Away: A Computational Model for Fear Extinction Learning during Dreaming -- Introduction -- A Computational Model for Fear Extinction Learning -- Simulations of Fear Extinction Learning in Dream Scenarios -- Discussion -- References -- Simple Models for Synaptic Information Integration -- Introduction -- A Neuron Model with Soma and a Dendrite -- A Simplified Current-Based Model -- Extension to Multiple Dendrites -- Conclusions -- References -- On Rationality of Decision Models Incorporating Emotion-Related Valuing and Hebbian Learning -- Introduction -- The Adaptive Decision Models Addressed -- Simulation Results -- Evaluating Agent Models on Rationality -- Discussion -- References -- Evolving Probabilistic Spiking Neural Networks for Spatio-temporal Pattern Recognition: A Preliminary Study on Moving Object Recognition -- Introduction -- The Proposed epSNNr Architecture -- Probabilistic Neuronal Models in the epSNNr as Extensions of the LIF Model -- Preliminary Experiments on Moving Object Recognition in the epSNNr -- Goals of the Experimental Study -- Synthetic Video Dataset -- Design of the Experiment -- Experimental Results -- Conclusion and Future Works -- References -- Nonlinear Effect on Phase Response Curve of Neuron Model -- Introduction -- Formulation -- Spike Response Model -- Analytical Derivation of PRC Using SRM -- Verification Using Conductance-Based Model -- Derivation of PRC of SRM -- Comparison of Derived Theory Using Conductance-Based Models -- Dependence of PRC on Amplitude of Perturbation Stimuli -- Concluding Remarks -- References -- Modulations of Electric Organ Discharge and Representation of the Modulations on Electroreceptors -- Introduction -- Methods -- Simulation Setup -- Model for Calculating EOD Modulation Induced by an Object -- Model of the Electrosensory Receptor Network -- Results. | |
EOD Modulations. | |
Sommario/riassunto: | The three volume set LNCS 7062, LNCS 7063, and LNCS 7064 constitutes the proceedings of the 18th International Conference on Neural Information Processing, ICONIP 2011, held in Shanghai, China, in November 2011. The 262 regular session papers presented were carefully reviewed and selected from numerous submissions. The papers of part I are organized in topical sections on perception, emotion and development, bioinformatics, biologically inspired vision and recognition, bio-medical data analysis, brain signal processing, brain-computer interfaces, brain-like systems, brain-realistic models for learning, memory and embodied cognition, Clifford algebraic neural networks, combining multiple learners, computational advances in bioinformatics, and computational-intelligent human computer interaction. The second volume is structured in topical sections on cybersecurity and data mining workshop, data mining and knowledge doscovery, evolutionary design and optimisation, graphical models, human-originated data analysis and implementation, information retrieval, integrating multiple nature-inspired approaches, kernel methods and support vector machines, and learning and memory. The third volume contains all the contributions connected with multi-agent systems, natural language processing and intelligent Web information processing, neural encoding and decoding, neural network models, neuromorphic hardware and implementations, object recognition, visual perception modelling, and advances in computational intelligence methods based pattern recognition. |
Titolo autorizzato: | Neural Information Processing ![]() |
ISBN: | 3-642-24965-5 |
Formato: | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 996465946703316 |
Lo trovi qui: | Univ. di Salerno |
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