Neural Information Processing : 19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part II / edited by Tingwen Huang, Zhigang Zeng, Chuandong Li, Chi Sing Leung.

Format:

Book

Contributor:

Huang, Tingwen, Editor.

Tseng, Tommaso, Editor.

Li, Chuandong., Editor.

Leung, Chi Sing, Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

LNCS sublibrary. Theoretical computer science and general issues 2512-2029 ; SL 1, 7664

Theoretical Computer Science and General Issues, 2512-2029 ; 7664

Language:

English

Subjects (All):

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.

Local Subjects:

Theory of Computation.

Artificial Intelligence.

Automated Pattern Recognition.

Data Mining and Knowledge Discovery.

Computer Modelling.

Computer Vision.

Physical Description:

1 online resource (XXII, 712 pages) : 230 illustrations

Edition:

1st ed. 2012.

Contained In:

Springer Nature eBook

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.

System Details:

text file PDF

Summary:

The five volume set LNCS 7663, LNCS 7664, LNCS 7665, LNCS 7666 and LNCS 7667 constitutes the proceedings of the 19th International Conference on Neural Information Processing, ICONIP 2012, held in Doha, Qatar, in November 2012. 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.

Contents:

On the Optimization of Multiclass Support Vector Machines Dedicated to Speech Recognition

Time Series Prediction Method Based on LS-SVR with Modified Gaussian RBF

An Improved Method of Identification Based on Thermal Palm Vein Image

Modelling Energy Use and Fuel Consumption in Wheat Production Using Indirect Factors and Artificial Neural Networks

A Gaussian Mixture Model Based System for Detection of Macula in Fundus Images

The Brain's Sequential Parallelism: Perceptual Decision-Making and Early Sensory Responses

Estimating Neural Firing Rates: An Empirical Bayes Approach

Assessment of Financial Risk Prediction Models with Multi-criteria Decision Making Methods

Improving Risk Predictions by Preprocessing Imbalanced Credit Data

Hybrid Validation of Handwriting Process Modelling

Off-Line Handwritten Arabic Word Recognition Using SVMs with Normalized Poly Kernel

Bayesian Modeling of Visual Attention

Classifier Ensemble Using a Heuristic Learning with Sparsity and Diversity

Optimization of SIRMs Fuzzy Model Using Lukasiewicz Logic

Synchronization of Hopfield Like Chaotic Neural Networks with Structure Based Learning

Incremental Self-Organizing Map (iSOM) in Categorization of Visual Objects

The Elastic Net as Visual Category Representation: Visualisation and Classification

A Computational Model for Development of Post-Traumatic Stress Disorders by Hebbian Learning

Power-Law Scaling of Synchronization Robustly Reproduced in the Hippocampal CA3 Slice Culture Model with Small-World Topology

A Dynamic Bio-inspired Model of Categorization

Improving Support Vector Machine Using a Stochastic Local Search for Classification in DataMining

Variety of Cortical Pathways Formed by Topographic Neural Projection: A Computational Study

Identification of Neural Network Structure from Multiple Spike Sequences

Time Domain Parameters for Online Feedback fNIRS-Based Brain-Computer Interface Systems

Embedding Relevance Vector Machine in Fuzzy Inference System for Energy Consumption Forecasting

GMM-ClusterForest: A Novel Indexing Approach for Multi-features Based Similarity Search in High-Dimensional Spaces

A Regularized Linear Classifier for Effective Text Classification

A Real-Time, Event Driven Neuromorphic System for Goal-Directed Attentional Selection

Analog Neural Network Approach for Source Localization Using Time-of-Arrival Measurements

Construction of Decision Trees by Using Feature Importance Value for Improved Learning Performance

Wavelet Transform Based Consonant - Vowel (CV) Classification Using Support Vector Machines

Using Agent Based Modeling and Simulation for Data Mining

Neurodynamical Top-Down Processing during Auditory Attention

A Hybrid Visualization-Induced Self-Organizing Map for Multi Dimensional Reduction and Data Visualization

Human-Like Intuitive Playing in Board Games

Identification of Diffusion Coefficient in Nonhomogeneous Landscapes

Data Discretization for Dynamic Bayesian Network Based Modeling of Genetic Networks

Generation of Environmental Representation of a Large Indoor Parking Lot. Survey on Simplified Olfactory Bionic Model to Generate Texture Images

An Improved Method to Calculate Phase Locking Value Based on Hilbert-Huang Transform and Its Application

A Novel Hierarchical Statistical Model for Count Data Modeling and Its Application in Image Classification

Multitask Twin Support Vector Machines

Bandit-Based Structure Learning for Bayesian Network Classifiers

Modeling the Mental Differentiation Task with EEG

Office-Space-Allocation Problem Using Harmony Search Algorithm

A Unified Framework of Binary Classifiers Ensemble for Multi-class Classification

An Orientation Detection Model Based on Fitting from Multiple Local Hypotheses

Avoiding Catastrophic Forgetting by a Biologically Inspired Dual-Network Memory Model

Color Fractal Structure Model for Reduced-Reference Colorful Image Quality Assessment

Validation Based Sparse Gaussian Processes for Ordinal Regression

Cross-Subject Classification of Speaking Modes Using fNIRS

Temporal Finite-State Machines: A Novel Framework for the General Class of Dynamic Networks

A Novel Node Splitting Criteria for Decision Trees Based on Theil Index

Modeling of Polycaprolactone Production from Lukasiewicz Logic

Bandit-Based Structure Learning for Bayesian Network Classifiers.

Other Format:

Printed edition:

ISBN:

978-3-642-34481-7

9783642344817

Access Restriction:

Restricted for use by site license.