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Neural information processing : 13th international conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006 : proceedings

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Cover of 'Neural information processing : 13th international conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006 : proceedings'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 How Reward Can Induce Reverse Replay of Behavioral Sequences in the Hippocampus
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    Chapter 2 Analysis of Early Hypoxia EEG Based on a Novel Chaotic Neural Network
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    Chapter 3 BCM-Type Synaptic Plasticity Model Using a Linear Summation of Calcium Elevations as a Sliding Threshold
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    Chapter 4 A New Method for Multiple Spike Train Analysis Based on Information Discrepancy
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    Chapter 5 Self-organizing Rhythmic Patterns with Spatio-temporal Spikes in Class I and Class II Neural Networks
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    Chapter 6 Self-organization Through Spike-Timing Dependent Plasticity Using Localized Synfire-Chain Patterns
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    Chapter 7 Comparison of Spike-Train Responses of a Pair of Coupled Neurons Under the External Stimulus
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    Chapter 8 Fatigue-Induced Reversed Hemispheric Plasticity During Motor Repetitions: A Brain Electrophysiological Study
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    Chapter 9 Functional Differences Between the Spatio-temporal Learning Rule (STLR) and Hebb Type (HEBB) in Single Pyramidal Cells in the Hippocampal CA1 Area
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    Chapter 10 Ratio of Average Inhibitory to Excitatory Conductance Modulates the Response of Simple Cell
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    Chapter 11 Modeling of LTP-Related Phenomena Using an Artificial Firing Cell
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    Chapter 12 Time Variant Causality Model Applied in Brain Connectivity Network Based on Event Related Potential
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    Chapter 13 An Electromechanical Neural Network Robotic Model of the Human Body and Brain: Sensory-Motor Control by Reverse Engineering Biological Somatic Sensors
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    Chapter 14 Sequence Disambiguation by Functionally Divided Hippocampal CA3 Model
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    Chapter 15 A Time-Dependent Model of Information Capacity of Visual Attention
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    Chapter 16 Learning with Incrementality
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    Chapter 17 Lability of Reactivated Human Declarative Memory
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    Chapter 18 A Neuropsychologically-Inspired Computational Approach to the Generalization of Cerebellar Learning
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    Chapter 19 Breast Cancer Diagnosis Using Neural-Based Linear Fusion Strategies
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    Chapter 19 A Neural Model for Stereo Transparency with the Population of the Disparity Energy Models
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    Chapter 20 Functional Connectivity in the Resting Brain: An Analysis Based on ICA
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    Chapter 21 Semantic Addressable Encoding
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    Chapter 22 Top-Down Attention Guided Object Detection
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    Chapter 23 Absolute Quantification of Brain Creatine Concentration Using Long Echo Time PRESS Sequence with an External Standard and LCModel: Verification with in Vitro HPLC Method
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    Chapter 24 Learning in Neural Network – Unusual Effects of “Artificial Dreams”
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    Chapter 25 Spatial Attention in Early Vision Alternates Direction-of-Figure
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    Chapter 26 Language Learnability by Feedback Self-Organizing Maps
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    Chapter 27 Text Representation by a Computational Model of Reading
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    Chapter 28 Mental Representation and Processing Involved in Comprehending Korean Regular and Irregular Verb Eojeols: An fMRI and Reaction Time Study
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    Chapter 29 Binding Mechanism of Frequency-Specific ITD and IID Information in Sound Localization of Barn Owl
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    Chapter 30 Effect of Feedback Signals on Tuning Shifts of Subcortical Neurons in Echolocation of Bat
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    Chapter 31 A Novel Speech Processing Algorithm for Cochlear Implant Based on Selective Fundamental Frequency Control
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    Chapter 32 Connectionist Approaches for Predicting Mouse Gene Function from Gene Expression
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    Chapter 33 Semantic Activation and Cortical Areas Related to the Lexical Ambiguity and Idiomatic Ambiguity
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    Chapter 34 Intelligent System for Automatic Recognition and Evaluation of Speech Commands
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    Chapter 35 A New Mechanism on Brain Information Processing—Energy Coding
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    Chapter 36 A Solution to the Curse of Dimensionality Problem in Pairwise Scoring Techniques
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    Chapter 37 First Passage Time Problem for the Ornstein-Uhlenbeck Neuronal Model
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    Chapter 38 Delay-Dependent Exponential Estimates of Stochastic Neural Networks with Time Delay
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    Chapter 39 Imbalanced Learning in Relevance Feedback with Biased Minimax Probability Machine for Image Retrieval Tasks
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    Chapter 40 Improvement of the Perfect Recall Rate of Block Splitting Type Morphological Associative Memory Using a Majority Logic Approach
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    Chapter 41 Two Methods for Sparsifying Probabilistic Canonical Correlation Analysis
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    Chapter 42 A Brain-Inspired Cerebellar Associative Memory Approach to Option Pricing and Arbitrage Trading
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    Chapter 42 Turbo Decoding as an Instance of Expectation Maximization Algorithm
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    Chapter 43 Dynamical Behaviors of a Large Class of Delayed Differential Systems with Discontinuous Right-Hand Side
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    Chapter 44 Reinforcement Learning Algorithm with CTRNN in Continuous Action Space
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    Chapter 45 Entropy Based Associative Model
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    Chapter 46 Free Energy of Stochastic Context Free Grammar on Variational Bayes
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    Chapter 47 Asymptotic Behavior of Stochastic Complexity of Complete Bipartite Graph-Type Boltzmann Machines
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    Chapter 48 Improving VG-RAM Neural Networks Performance Using Knowledge Correlation
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    Chapter 49 The Bifurcating Neuron Network 3 as Coloring Problem Solver and N-Ary Associative Memory
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    Chapter 50 Coupling Adaboost and Random Subspace for Diversified Fisher Linear Discriminant
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    Chapter 51 Self-organized Path Constraint Neural Network: Structure and Algorithm
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    Chapter 52 Gauss Wavelet Chaotic Neural Networks
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    Chapter 53 Training RBFs Networks: A Comparison Among Supervised and Not Supervised Algorithms
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    Chapter 54 A Cooperation Online Reinforcement Learning Approach in Ant-Q
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    Chapter 55 Soft Analyzer Modeling for Dearomatization Unit Using KPCR with Online Eigenspace Decomposition
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    Chapter 56 A Soft Computing Based Approach for Modeling of Chaotic Time Series
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    Chapter 57 Predicting Nonstationary Time Series with Multi-scale Gaussian Processes Model
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    Chapter 58 Prediction Error of a Fault Tolerant Neural Network
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    Chapter 59 Delay-Dependent and Delay-Independent Stability Conditions of Delayed Cellular Neural Networks
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    Chapter 60 The Perfect Recalling Rate of Morphological Associative Memory
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    Chapter 61 Analysis of Dynamics of Cultured Neuronal Networks Using I & F Model
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    Chapter 62 Convergence Study of Discrete Neural Networks with Delay
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    Chapter 63 Convergence of Batch BP Algorithm with Penalty for FNN Training
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    Chapter 64 New Results for Global Stability of Cohen-Grossberg Neural Networks with Discrete Time Delays
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    Chapter 65 Global Stability of Cohen-Grossberg Neural Networks with Distributed Delays
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    Chapter 66 Exponential Stability of Neural Networks with Distributed Time Delays and Strongly Nonlinear Activation Functions
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    Chapter 67 Global Stability of Bidirectional Associative Memory Neural Networks with Variable Coefficients and S-Type Distributed Delays
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    Chapter 68 Stability Analysis for Higher Order Complex-Valued Hopfield Neural Network
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    Chapter 69 Mixture of Neural Networks: Some Experiments with the Multilayer Feedforward Architecture
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    Chapter 70 Collective Information-Theoretic Competitive Learning: Emergency of Improved Performance by Collectively Treated Neurons
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    Chapter 71 A Fast Bit-Parallel Algorithm for Gapped String Kernels
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    Chapter 72 A RBFN Based Cogging Force Estimator of PMLSM with q<1 Structure
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    Chapter 73 Localized Bayes Estimation for Non-identifiable Models
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    Chapter 74 Optimality of Kernel Density Estimation of Prior Distribution in Bayes Network
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    Chapter 75 Learning Hierarchical Bayesian Networks for Large-Scale Data Analysis
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    Chapter 76 Learning Bayesian-Neural Network from Mixed-Mode Data
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    Chapter 77 Adaptive Boosting: Dividing the Learning Set to Increase the Diversity and Performance of the Ensemble
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    Chapter 78 Ensemble of Competitive Associative Nets and a Method to Select an Effective Number of Units
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    Chapter 79 Using Weighted Combination-Based Methods in Ensembles with Different Levels of Diversity
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    Chapter 80 Integrated Neural Network Ensemble Algorithm Based on Clustering Technology
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    Chapter 81 The Use of Stability Principle for Kernel Determination in Relevance Vector Machines
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    Chapter 82 Adaptive Kernel Leaning Networks with Application to Nonlinear System Identification
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    Chapter 83 Probabilistic Kernel Principal Component Analysis Through Time
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    Chapter 84 Confidence Intervals for the Risks of Regression Models
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    Chapter 85 A Divide-and-Conquer Approach to the Pairwise Opposite Class-Nearest Neighbor (POC-NN) Algorithm for Regression Problem
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    Chapter 86 A Heuristic Weight-Setting Algorithm for Robust Weighted Least Squares Support Vector Regression
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    Chapter 86 Dimensionality Reduction of Protein Mass Spectrometry Data Using Random Projection
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    Chapter 87 Feature Selection Using SVM Probabilistic Outputs
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    Chapter 88 Unified Kernel Function and Its Training Method for SVM
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    Chapter 89 A Spectrum-Based Support Vector Algorithm for Relational Data Semi-supervised Classification
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    Chapter 90 Clustering Massive High Dimensional Data with Dynamic Feature Maps
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    Chapter 90 Speeding Up SVM in Test Phase: Application to Radar HRRP ATR
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    Chapter 91 A New Dual ν-Support Vector Machine
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    Chapter 92 A Novel Sequential Minimal Optimization Algorithm for Support Vector Regression
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    Chapter 93 Uncertainty in Mineral Prospectivity Prediction
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    Chapter 93 EUS SVMs: Ensemble of Under-Sampled SVMs for Data Imbalance Problems
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    Chapter 94 A Improved SVM and Its Using in Electric Power System Load Forecasting
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    Chapter 95 Support Vector Machine Tree Based on Feature Selection
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    Chapter 96 A Competitive Co-evolving Support Vector Clustering
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    Chapter 97 Fuzzy Probability C-Regression Estimation Based on Least Squares Support Vector Machine
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    Chapter 98 Filtering E-Mail Based on Fuzzy Support Vector Machines and Aggregation Operator
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    Chapter 99 A Distributed Support Vector Machines Architecture for Chaotic Time Series Prediction
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    Chapter 100 Nonlinear Noise Reduction of Chaotic Time Series Based on Multi-dimensional Recurrent Least Squares Support Vector Machines
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    Chapter 101 Self-Organizing Map with Input Data Represented as Graph
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    Chapter 102 Semi-supervised Learning of Dynamic Self-Organising Maps
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    Chapter 103 Self-organizing by Information Maximization: Realizing Self-Organizing Maps by Information-Theoretic Competitive Learning
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    Chapter 104 An Online Adaptation Control System Using mnSOM
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    Chapter 105 Generalization of the Self-Organizing Map: From Artificial Neural Networks to Artificial Cortexes
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    Chapter 106 SOM of SOMs: An Extension of SOM from ‘Map’ to ‘Homotopy’
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    Chapter 107 Modular Network SOM: Theory, Algorithm and Applications
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    Chapter 108 Evaluation-Based Topology Representing Network for Accurate Learning of Self-Organizing Relationship Network
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    Chapter 109 Adaptively Incremental Self-organizing Isometric Embedding
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    Chapter 110 An Extended Model on Self-Organizing Map
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    Chapter 111 A New SOM Algorithm for Electricity Load Forecasting
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    Chapter 112 ART-Based Parallel Learning of Growing SOMs and Its Application to TSP
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    Chapter 113 Smooth Seamless Surface Construction Based on Conformal Self-organizing Map
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    Chapter 114 Consumer’s Purchasing Behavior Analysis Based on the Self-Organizing Feature Map Neural Network Algorithm in E-Supply Chain
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    Chapter 115 Pattern Discovery from Time Series Using Growing Hierarchical Self-Organizing Map
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    Chapter 116 K-Hyperplanes Clustering and Its Application to Sparse Component Analysis
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    Chapter 117 Region of Interest Based Independent Component Analysis
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    Chapter 118 Variational Bayesian Method for Temporally Correlated Source Separation
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    Chapter 119 Newton-Like Methods for Nonparametric Independent Component Analysis
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    Chapter 120 A Hybrid Blind Signal Separation Algorithm: Particle Swarm Optimization on Feed-Forward Neural Network
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    Chapter 121 Constrained ICA Based Ballistocardiogram and Electro-Oculogram Artifacts Removal from Visual Evoked Potential EEG Signals Measured Inside MRI
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    Chapter 122 Monotonic Convergence of a Nonnegative ICA Algorithm on Stiefel Manifold
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    Chapter 123 Exterior Penalty Function Method Based ICA Algorithm for Hybrid Sources Using GKNN Estimation
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    Chapter 124 Denoising by Anisotropic Diffusion of Independent Component Coefficients
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    Chapter 125 Blind Separation of Digital Signal Sources in Noise Circumstance
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    Chapter 126 Performance Evaluation of Directionally Constrained Filterbank ICA on Blind Source Separation of Noisy Observations
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    Chapter 127 First Passage Time Problem for the Ornstein-Uhlenbeck Neuronal Model
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    Chapter 131 Neurocomputing for Minimizing Energy Consumption of Real-Time Operating System in the System-on-a-Chip
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

patent
3 patents
wikipedia
1 Wikipedia page
googleplus
1 Google+ user

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
37 Mendeley
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Title
Neural information processing : 13th international conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006 : proceedings
Published by
ADS, January 2006
DOI 10.1007/11893028
ISBNs
978-3-54-046479-2, 978-3-54-046484-6, 978-3-54-046481-5, 978-3-54-046480-8, 978-3-54-046482-2, 978-3-54-046485-3
Authors

King, Irwin

Editors

Irwin King, Jun Wang, Lai-Wan Chan, DeLiang Wang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 3%
Unknown 36 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 5%
Researcher 1 3%
Professor > Associate Professor 1 3%
Unknown 33 89%
Readers by discipline Count As %
Computer Science 1 3%
Agricultural and Biological Sciences 1 3%
Chemistry 1 3%
Engineering 1 3%
Unknown 33 89%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 January 2020.
All research outputs
#2,939,851
of 22,808,725 outputs
Outputs from ADS
#1,921
of 37,339 outputs
Outputs of similar age
#10,222
of 154,445 outputs
Outputs of similar age from ADS
#18
of 434 outputs
Altmetric has tracked 22,808,725 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 37,339 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done particularly well, scoring higher than 94% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 154,445 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 434 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.