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Neural Information Processing. Theory and Algorithms

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Cover of 'Neural Information Processing. Theory and Algorithms'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Bayesian Interpretation of Border-Ownership Signals in Early Visual Cortex
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    Chapter 2 A Computational Model That Enables Global Amodal Completion Based on V4 Neurons
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    Chapter 3 Quantitative Modeling of Neuronal Dynamics in C. elegans
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    Chapter 4 Human Localization by Fuzzy Spiking Neural Network Based on Informationally Structured Space
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    Chapter 5 Computational Model of the Cerebral Cortex That Performs Sparse Coding Using a Bayesian Network and Self-Organizing Maps
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    Chapter 6 Complex Spiking Models: A Role for Diffuse Thalamic Projections in Complex Cortical Activity
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    Chapter 7 Mutual Information Analyses of Chaotic Neurodynamics Driven by Neuron Selection Methods in Synchronous Exponential Chaotic Tabu Search for Quadratic Assignment Problems
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    Chapter 8 Neural Information Processing. Theory and Algorithms
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    Chapter 9 Realizing Ideal Spatiotemporal Chaotic Searching Dynamics for Optimization Algorithms Using Neural Networks
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    Chapter 10 A Multiple Sound Source Recognition System Using Pulsed Neuron Model with Short Term Synaptic Depression
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    Chapter 11 A Model of Path Integration and Navigation Based on Head Direction Cells in Entorhinal Cortex
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    Chapter 12 Model Studies on Time-Scaled Phase Response Curves and Synchronization Transition
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    Chapter 13 Roles of Early Vision for the Dynamics of Border-Ownership Selective Neurons
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    Chapter 14 Theoretical Analysis of Various Synchronizations in Pulse-Coupled Digital Spiking Neurons
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    Chapter 15 Emergence of Highly Nonrandom Functional Synaptic Connectivity Through STDP
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    Chapter 16 Modulation of Corticofugal Signals by Synaptic Changes in Bat’s Auditory System
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    Chapter 17 Efficient Representation by Horizontal Connection in Primary Visual Cortex
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    Chapter 18 Stimulation of the Retinal Network in Bionic Vision Devices: From Multi-Electrode Arrays to Pixelated Vision
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    Chapter 19 Spatial Feature Extraction by Spike Timing Dependent Synaptic Modification
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    Chapter 20 Learning Shapes Bifurcations of Neural Dynamics upon External Stimuli
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    Chapter 21 Towards Spatio-Temporal Pattern Recognition Using Evolving Spiking Neural Networks
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    Chapter 22 Real-Time Simulation of Phosphene Images Evoked by Electrical Stimulation of the Visual Cortex
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    Chapter 23 An Effect of Inhibitory Connections on Synchronous Firing Assembly in the Inhibitory Connected Pulse Coupled Neural Network
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    Chapter 24 Array-Enhanced Stochastic Resonance in a Network of Noisy Neuromorphic Circuits
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    Chapter 25 Modelling the Interplay of Emotions, Beliefs and Intentions within Collective Decision Making Based on Insights from Social Neuroscience
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    Chapter 26 Visual Selective Attention Model Considering Bottom-Up Saliency and Psychological Distance
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    Chapter 27 Free-Energy Based Reinforcement Learning for Vision-Based Navigation with High-Dimensional Sensory Inputs
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    Chapter 28 Dependence on Memory Pattern in Sensitive Response of Memory Fragments among Three Types of Chaotic Neural Network Models
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    Chapter 29 A Stimulus-Response Neural Network Model Prepared by Top-Down Signals
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    Chapter 30 A Novel Shape-Based Image Classification Method by Featuring Radius Histogram of Dilating Discs Filled into Regular and Irregular Shapes
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    Chapter 31 Learning Visual Object Categories and Their Composition Based on a Probabilistic Latent Variable Model
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    Chapter 32 Evidence for False Memory before Deletion in Visual Short-Term Memory
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    Chapter 33 Novel Alternating Least Squares Algorithm for Nonnegative Matrix and Tensor Factorizations
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    Chapter 34 Computational Modeling and Analysis of the Role of Physical Activity in Mood Regulation and Depression
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    Chapter 35 Representation of Hypertext Documents Based on Terms, Links and Text Compressibility
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    Chapter 36 A Heuristic-Based Feature Selection Method for Clustering Spam Emails
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    Chapter 37 Enhancement of Subjective Logic for Semantic Document Analysis Using Hierarchical Document Signature
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    Chapter 38 Is Comprehension Useful for Mobile Semantic Search Engines?
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    Chapter 39 A Novel Text Classification Approach Based on Deep Belief Network
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    Chapter 40 A Probability Click Tracking Model Analysis of Web Search Results
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    Chapter 41 Intention Extraction from Text Messages
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    Chapter 42 m-SNE: Multiview Stochastic Neighbor Embedding
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    Chapter 43 Learning Parametric Dynamic Movement Primitives from Multiple Demonstrations
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    Chapter 44 An Algorithm on Multi-View Adaboost
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    Chapter 45 An Analysis of Speaker Recognition Using Bagging CAN2 and Pole Distribution of Speech Signals
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    Chapter 46 Sparse and Low-Rank Estimation of Time-Varying Markov Networks with Alternating Direction Method of Multipliers
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    Chapter 47 Nearest Hit-Misses Component Analysis for Supervised Metric Learning
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    Chapter 48 Backward-Forward Least Angle Shrinkage for Sparse Quadratic Optimization
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    Chapter 49 An Enhanced Semi-supervised Recommendation Model Based on Green’s Function
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    Chapter 50 Reinforcement Learning by KFM Probabilistic Associative Memory Based on Weights Distribution and Area Neuron Increase and Decrease
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    Chapter 51 Extraction of Reward-Related Feature Space Using Correlation-Based and Reward-Based Learning Methods
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    Chapter 52 Stationary Subspace Analysis as a Generalized Eigenvalue Problem
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    Chapter 53 A Multi-class Object Classifier Using Boosted Gaussian Mixture Model
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    Chapter 54 Adaptive Ensemble Based Learning in Non-stationary Environments with Variable Concept Drift
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    Chapter 55 High Dimensional Non-linear Modeling with Bayesian Mixture of CCA
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    Chapter 56 The Iso-regularization Descent Algorithm for the LASSO
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    Chapter 57 Logistic Label Propagation for Semi-supervised Learning
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    Chapter 58 A New Framework for Small Sample Size Face Recognition Based on Weighted Multiple Decision Templates
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    Chapter 59 An Information-Spectrum Approach to Analysis of Return Maximization in Reinforcement Learning
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    Chapter 60 Analytical Approach to Noise Effects on Synchronization in a System of Coupled Excitable Elements
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    Chapter 61 Learning ECOC and Dichotomizers Jointly from Data
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    Chapter 62 Wavelet Entropy Measure Based on Matching Pursuit Decomposition and Its Analysis to Heartbeat Intervals
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    Chapter 63 Application Rough Sets Theory to Ordinal Scale Data for Discovering Knowledge
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    Chapter 64 Dynamic Population Variation Genetic Programming with Kalman Operator for Power System Load Modeling
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    Chapter 65 A Robust Iris Segmentation with Fuzzy Supports
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    Chapter 66 An Adaptive Local Search Based Genetic Algorithm for Solving Multi-objective Facility Layout Problem
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    Chapter 67 Non–uniform Layered Clustering for Ensemble Classifier Generation and Optimality
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    Chapter 68 Membership Enhancement with Exponential Fuzzy Clustering for Collaborative Filtering
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    Chapter 69 Real-Valued Multimodal Fitness Landscape Characterization for Evolution
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    Chapter 70 Reranking for Stacking Ensemble Learning
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    Chapter 71 Neural Information Processing. Theory and Algorithms
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    Chapter 72 A New Expansion of Cooperative Particle Swarm Optimization
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    Chapter 73 Adaptive Ensemble Learning Strategy Using an Assistant Classifier for Large-Scale Imbalanced Patent Categorization
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    Chapter 74 Adaptive Decision Making in Ant Colony System by Reinforcement Learning
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    Chapter 75 A Cooperative Coevolutionary Algorithm for the Composite SaaS Placement Problem in the Cloud
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    Chapter 76 A Swarm Intelligence Approach to the Quadratic Multiple Knapsack Problem
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    Chapter 77 Rough-Set-Based Association Rules Applied to Brand Trust Evaluation Model
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    Chapter 78 A Genetic Algorithm to Find Pareto-optimal Solutions for the Dynamic Facility Layout Problem with Multiple Objectives
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    Chapter 79 Topological Hierarchical Tree Using Artificial Ants
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    Chapter 80 Bottom-Up Generative Modeling of Tree-Structured Data
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    Chapter 81 Exploit of Online Social Networks with Community-Based Graph Semi-Supervised Learning
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    Chapter 82 Hierarchical Lossless Image Coding Using Cellular Neural Network
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    Chapter 83 Multivariate Decision Tree Function Approximation for Reinforcement Learning
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    Chapter 84 Improving Hierarchical Document Signature Performance by Classifier Combination
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    Chapter 85 The Discovery of Hierarchical Cluster Structures Assisted by a Visualization Technique
Overall attention for this book and its chapters
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Title
Neural Information Processing. Theory and Algorithms
Published by
ADS, November 2010
DOI 10.1007/978-3-642-17537-4
ISBNs
978-3-64-217536-7, 978-3-64-217537-4
Editors

Wong, Kok Wai, Mendis, B. Sumudu U., Bouzerdoum, Abdesselam

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 7%
Lecturer 1 7%
Student > Doctoral Student 1 7%
Unknown 11 79%
Readers by discipline Count As %
Linguistics 2 14%
Computer Science 1 7%
Psychology 1 7%
Unknown 10 71%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 30 November 2023.
All research outputs
#19,545,970
of 24,901,761 outputs
Outputs from ADS
#31,361
of 37,302 outputs
Outputs of similar age
#169,951
of 191,274 outputs
Outputs of similar age from ADS
#598
of 677 outputs
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So far Altmetric has tracked 37,302 research outputs from this source. They receive a mean Attention Score of 4.5. This one is in the 15th percentile – i.e., 15% of its peers scored the same or lower than it.
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We're also able to compare this research output to 677 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.