Neural Information Processing
The 423 regular session papers presented were carefully reviewed and selected from numerous submissions. These papers cover all major topics of theoretical research, empirical study and applications of neural information processing research. The 5 volumes represent 5 topical sections containing articles on theoretical analysis, neural modeling, algorithms, applications, as well as simulation and synthesis.
Centroid Neural Network with Simulated Annealing and Its Application to Color Image Segmentation.- Efficient Non-linear Filter for Impulse Noise Removal in Document Images.- Evolving Flexible Beta Operator Neural Trees (FBONT) for Time Series Forecasting.- Nonparametric Localized Feature Selection via a Dirichlet Process Mixture of Generalized Dirichlet Distributions.- Generalized Agglomerative Fuzzy Clustering.- A Novel Self-Adaptive Clustering Algorithm for Dynamic Data.- Impulsive Synchronization of State Delayed Discrete Complex Networks with Switching Topology.- Salient Instance Selection for Multiple-Instance Learning.- Motivating Retail Marketing Efforts under Fairness Concerns in Small-World Networks: A Multi-agent Simulation.- Application of Variational Granularity Language Sets in Interactive Genetic Algorithms.- Linked PARAFAC/CP Tensor Decomposition and Its Fast Implementation for Multi-block Tensor Analysis.-A Human-Simulated Immune Evolutionary Computation Approach.- A STPHD-Based Multi-sensor Fusion Method.- Group Sparse Inverse Covariance Selection with a Dual Augmented Lagrangian Method.- Multiple Outlooks Learning with Support Vector Machines.- Multi-Task Learning Using Shared and Task Specific Information.- Learning Attentive Fusion of Multiple Bayesian Network Classifiers.- Multiclass Penalized Likelihood Pattern Classification Algorithm.- Self-Organising Maps for Classification with Metropolis-Hastings Algorithm for Supervision.- Decoupled 2-D DOA Estimation Algorithm Based on Cross-Correlation Matrix for Coherently Distributed Source.- Feature Extraction by Nonnegative Tucker Decomposition from EEG Data Including Testing and Training Observations.- A New Approach for a Priori Client Threshold Estimation in Biometric Signature Recognition Based on Multiple Linear Regression.- Deterministic Annealing Multi-Sphere Support Vector Data Description,-Maximal Margin Approach to Kernel Generalised Learning Vector Quantisation for Brain-Computer Interface.- A Basic Study on Particle Swarm Optimization Based on Chaotic Spike Oscillator Dynamics.- On the Objective Function and Learning Algorithm for Concurrent Open Node Fault.- Evolutionary Extreme Learning Machine for Ordinal Regression.- Biclustering and Subspace Learning with Regularization for Financial Risk Analysis.- Emotion Understanding in Movie Clips Based on EEG Signal Analysis.- A Distributed Q-Learning Approach for Variable Attention to Multiple Critics.- A Hybrid Approach for Adaptive Car Navigation.- Low Complexity Classification System for Glove-Based Arabic Sign Language Recognition.- Transductive Cartoon Retrieval by Multiple Hypergraph Learning.- Adaptive Multiplicative Updates for Projective Nonnegative Matrix Factorization.- Online Projective Nonnegative Matrix Factorization for Large Datasets.-Optimization of Fuzzy Systems Using Group-Based Evolutionary Algorithm.- Gabor-Based Novel Local, Shape and Color Features for Image Classification.- A Hybrid KNN-Ant Colony Optimization Algorithm for Prototype Selection.- Energy-Efficient Virtual Machine Placement in Data Centers by Genetic Algorithm.- A Contextual-Bandit Algorithm for Mobile Context-Aware Recommender System.- Multi-source Transfer Learning with Multi-view Adaboost.- Semi-supervised Multitask Learning via Self-training and Maximum Entropy Discrimination.- Tracking Property of UMDA in Dynamic Environment by Landscape Framework.- Computation of Joint Spectral Radius for Network Model Associated with Rank-One Matrix Set.- Novelty Detection Using a New Group Outlier Factor.- Hierarchical K-Means Algorithm for Modeling Visual Area V2 Neurons.- Feature Selection for Unsupervised Learning.-Recursive Similarity-Based Algorithm for Deep Learning.- A Fast Edge-Directed Interpolation Algorithm.- Real-Valued Constraint Optimization with ICHEA.- Modeling Post-training Memory Transfer in Cerebellar Motor Learning.- Surface-Based Construction of Curvature Selectivity from the Integration of Local Orie
| Erscheint lt. Verlag | 1.10.2012 |
|---|---|
| Reihe/Serie | Lecture Notes in Computer Science | Theoretical Computer Science and General Issues |
| Zusatzinfo | XXI, 722 p. 196 illus. |
| Verlagsort | Berlin |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 1122 g |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| Informatik ► Software Entwicklung ► User Interfaces (HCI) | |
| Mathematik / Informatik ► Informatik ► Theorie / Studium | |
| Schlagworte | Embedded Systems • high-performance network • multi-agent system • Particle swarm optimization • statistical modeling |
| ISBN-13 | 9783642344862 / 9783642344862 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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