Chu Kiong Loo; Yap Keem Siah; Kok Wai Wong; Andrew Neural Information Processing 9783319126395

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Автор: Chu Kiong Loo; Yap Keem Siah; Kok Wai Wong; Andrew
Название: Neural Information Processing
ISBN: 9783319126395
Издательство: Springer
Классификация:

Извлечение знаний из данных

Нейронные сети и нечеткие системы

Распознавание образов

Обработка изображений

Разработка и эксплуатационная простота пользовательского интерфейса

ISBN-10: 3319126393
Обложка/Формат: Paperback
Страницы: 603
Вес: 0.86 кг.
Дата издания: 06.11.2014
Серия: Theoretical Computer Science and General Issues
Язык: English
Размер: 234 x 156 x 32
Основная тема: Computer Science
Подзаголовок: 21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part II
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание: Kernel and Statistical Methods.- A New Ensemble Clustering Method based on Dempster-Shafer Evidence Theory and Gaussian Mixture Modeling.- Extraction of Dimension Reduced Features from Empirical Kernel Vector.- Method of Evolving Non-stationary Multiple Kernel Learning.- A kernel method to extract common features based on mutual information.- Properties of Text-Prompted Multistep Speaker Verification Using Gibbs-Distribution-Based Extended Bayesian Inference for Rejecting Unregistered Speakers.- Non-Monotonic Feature Selection for Regression.- Non-negative Matrix Factorization with Schatten p-norms Reguralization.- A New Energy Model for the Hidden Markov Random Fields.- Online nonlinear Granger causality detection by quantized kernel least mean square.- A Computational Model of Anti-Bayesian Sensory Integration in the Size-Weight Illusion.- Unsupervised Dimensionality Reduction for Gaussian Mixture Model.- Graph Kernels exploiting Weisfeiler-Lehman Graph Isomorphism Test Extensions.- Texture analysis based automated decision support System for classification of Skin Cancer using SA-SVM.- In-attention State Monitoring for a Driver Based On Head Pose and Eye Blinking Detection Using One Class Support Vector Machine.- An Improved Separating Hyperplane Method with Application to Embedded Intelligent Devices.- Fine-Grained Air Quality Monitoring Based on Gaussian Process Regression.- Retrieval of Experiments by Efficient Estimation of Marginal Likelihood.- Evolutionary Computation and Hybrid Intelligent Systems.- A New Approach of Diversity Enhanced Particle Swarm Optimization with Neighborhood Search and Adaptive Mutation.- Data Clustering Based on Particle Swarm Optimization with Neighborhood Search and Cauchy Mutation.- Accuracy Improvement of Localization and Mapping of ICP-SLAM Via Competitive Associative Nets and Leave-One-Out Cross-Validation.- Saliency Level Set Evolution.- Application of Cuckoo Search for Design Optimization of Heat Exchangers.- A Hybrid Method to Improve the Reduction of Ballistocardiogram Artifact from EEG Data.- VLGAAC: Variable Length Genetic Algorithm based Alternative Clustering.- Social Book Search with Pseudo-Relevance Feedback.- A Random Key Genetic Algorithm for Live Migration of Multiple Virtual Machines in Data Centers.- Collaboration of the Radial Basis ART and PSO in Multi-Solution Problems of the Henon Map.- Reconstructing Gene Regulatory Network with Enhanced Particle Swarm Optimization.- Neural Network Training by Hybrid Accelerated Cuckoo Particle Swarm Optimization Algorithm.- An Accelerated Particle Swarm Optimization Based Levenberg Marquardt Back Propagation Algorithm.- Fission-and-Recombination Particle Swarm Optimizers for Search of Multiple Solutions.- Fast Generalized Fuzzy C-means Using Particle Swarm Optimization for Image Segmentation.- Evolutionary Learning and Stability of Mixed-Rule Cellular Automata.- Pattern Recognition Techniques.- Radical-Enhanced Chinese Character Embedding.- Conditional Multidimensional Parameter Identification with Asymmetric Correlated Losses of Estimation Errors.- Short Text Hashing Improved by Integrating Topic Features and Tags.- Synthetic test data generation for hierarchical graph clustering methods.- Optimal Landmark Selection for Nystrom Approximation.- Privacy Preserving Clustering: A k-Means Type Extension.- Stream Quantiles via Maximal Entropy Histograms.- A Unified Framework for Thermal Face Recognition.- Geometric Feature-based Facial Emotion Recognition using Two-Stage Fuzzy Reasoning Model.- Human Activity Recognition by Matching Curve Shapes.- Sentiment Analysis of Chinese Microblogs Based on Layered Features.- Feature group weighting and topological biclustering.- A Label Completion Approach to Crowd Approximation.- Multi-label Linear Discriminant Analysis with Locality Consistency.- Hashing for Financial Credit Risk Analysis.- MAP Inference with MRF by Graduated Non-Convexity and Concavity Procedure.- Two-Phase App

Neural Information Processing, Chu Kiong Loo; Yap Keem Siah; Kok Wai Wong; Andrew