Neural Information Processing : 21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part II / edited by Chu Kiong Loo, Yap Keem Siah, Kok Wai Wong, Andrew Teoh Beng Jin, Kaizhu Huang.

Format:

Book

Contributor:

Loo, Chu Kiong., Editor.

Keem Siah, Yap., Editor.

Wong, Kok Wai, Editor.

Beng Jin, Andrew Teoh., Editor.

Huang, Kaizhu, Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

LNCS sublibrary. Theoretical computer science and general issues 2512-2029 ; SL 1, 8835

Theoretical Computer Science and General Issues, 2512-2029 ; 8835

Language:

English

Subjects (All):

Pattern recognition systems.

Computer vision.

Artificial intelligence.

Computer science.

Data mining.

Automated Pattern Recognition.

Computer Vision.

Artificial Intelligence.

Theory of Computation.

Data Mining and Knowledge Discovery.

Local Subjects:

Automated Pattern Recognition.

Computer Vision.

Artificial Intelligence.

Theory of Computation.

Data Mining and Knowledge Discovery.

Physical Description:

1 online resource (XVIII, 603 pages) : 80 illustrations

Edition:

1st ed. 2014.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2014.

System Details:

text file PDF

Summary:

The three volume set LNCS 8834, LNCS 8835, and LNCS 8836 constitutes the proceedings of the 20th International Conference on Neural Information Processing, ICONIP 2014, held in Kuching, Malaysia, in November 2014. The 231 full papers presented were carefully reviewed and selected from 375 submissions. The selected papers cover major topics of theoretical research, empirical study, and applications of neural information processing research. The 3 volumes represent topical sections containing articles on cognitive science, neural networks and learning systems, theory and design, applications, kernel and statistical methods, evolutionary computation and hybrid intelligent systems, signal and image processing, and special sessions intelligent systems for supporting decision, making processes,theories and applications, cognitive robotics, and learning systems for social network and web mining.

Contents:

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 Approach to Link Prediction

Properties of Direct Multi-Step Ahead Prediction of Chaotic Time Series and Out-of-Bag Estimate for Model Selection

Multi-document Summarization based on Sentence Clustering

An Ontology-based Approach to Query Suggestion Diversification

Sensor Drift Compensation Using Fuzzy Interference System and Sparse-Grid Quadrature Filter in Blood Glucose Control

Segmenting Webpage using Ontology and Word Matching for segments detection

Continuity of Discrete-time Fuzzy Systems

Sib-based Survival Selection Technique for Protein Structure Prediction in 3D-FCC lattice Model

Tensor Completion based on Structural Information

Document Versioning Using Feature Space Distances

Separation and Classication of Crackles and Bronchial Breath sounds from Normal Breath Sounds Using Gaussian Mixture Model

Combined Features for Face Recognition in Surveillance Conditions

Sparse Coding on Multiple Manifold Data

Mutual Information Estimation with Random Forests

Out-of-vocabulary Words Recognition Based on Conditional Random Field in Electronic Commerce

Least angle regression in orthogonal case

Evaluation Protocol of Early Classifiers Over Multiple Data Sets

Exploiting Level-Wise Category Links for Semantic Relatedness Computing

Characteristic Prediction of A Varistor in Overvoltage Protection Application

Optimizing Complex Building Renovation Process with Fuzzy Signature State Machines

News classification with Auxiliary Long Texts

Modelling Mediator Intervention in Joint Decision Making Processes Involving Mutual Empathic Understanding.

Other Format:

Printed edition:

ISBN:

978-3-319-12640-1

9783319126401

Access Restriction:

Restricted for use by site license.