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Neural Information Processing

Overview of attention for book
Cover of 'Neural Information Processing'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Hebbian-Based Neural Networks for Bottom-Up Visual Attention Systems
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    Chapter 2 Modeling of Cortical Signals Using Optimized Echo State Networks with Leaky Integrator Neurons
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    Chapter 3 Comparison of Near-Threshold Characteristics of Flash Suppression and Forward Masking
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    Chapter 4 Some Computational Predictions on the Possibilities of Three-Dimensional Properties of Grid Cells in Entorhinal Cortex
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    Chapter 5 Data Modelling for Analysis of Adaptive Changes in Fly Photoreceptors
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    Chapter 6 A Computational Model of Spatial Imagery Based on Object–Centered Scene Representation
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    Chapter 7 Biophysical Modeling of a Drosophila Photoreceptor
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    Chapter 8 Comparing a Cognitive and a Neural Model for Relative Trust Dynamics
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    Chapter 9 A Next Generation Modeling Environment PLATO: Platform for Collaborative Brain System Modeling
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    Chapter 10 Modeling Geomagnetospheric Disturbances with Sequential Bayesian Recurrent Neural Networks
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    Chapter 11 Finding MAPs Using High Order Recurrent Networks
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    Chapter 12 A Study on Bayesian Learning of One-Dimensional Linear Dynamical Systems
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    Chapter 13 Decoding Characteristics of D/A Converters Based on Spiking Neurons
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    Chapter 14 Separable Recursive Training Algorithms with Switching Module
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    Chapter 15 Application-Driven Parameter Tuning Methodology for Dynamic Neural Field Equations
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    Chapter 16 Interspike Interval Statistics Obtained from Non-homogeneous Gamma Spike Generator
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    Chapter 17 A Novel Method for Progressive Multiple Sequence Alignment Based on Lempel-Ziv
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    Chapter 18 Variational Bayes from the Primitive Initial Point for Gaussian Mixture Estimation
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    Chapter 19 A Bayesian Graph Clustering Approach Using the Prior Based on Degree Distribution
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    Chapter 20 Common Neighborhood Sub-graph Density as a Similarity Measure for Community Detection
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    Chapter 21 Divergence, Optimization and Geometry
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    Chapter 22 Robust Stability of Fuzzy Cohen-Grossberg Neural Networks with Delays
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    Chapter 23 An Adaptive Threshold in Joint Approximate Diagonalization by the Information Criterion
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    Chapter 24 PPoSOM: A Multidimensional Data Visualization Using Probabilistic Assignment Based on Polar SOM
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    Chapter 25 Slice Oriented Tensor Decomposition of EEG Data for Feature Extraction in Space, Frequency and Time Domains
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    Chapter 26 Stereo Map Surface Calculus Optimization Using Radial Basis Functions Neural Network Interpolation
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    Chapter 27 Quasi-Deterministic Partially Observable Markov Decision Processes
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    Chapter 28 Hierarchical Text Classification Incremental Learning
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    Chapter 29 Robust Stability of Stochastic Neural Networks with Interval Discrete and Distributed Delays
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    Chapter 30 Hybrid Hopfield Architecture for Solving Nonlinear Programming Problems
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    Chapter 31 Fault Tolerant Regularizers for Multilayer Feedforward Networks
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    Chapter 32 Integrating Simulated Annealing and Delta Technique for Constructing Optimal Prediction Intervals
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    Chapter 33 Robust Local Tangent Space Alignment
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    Chapter 34 Probabilistic Combination of Multiple Evidence
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    Chapter 35 FIA: Frequent Itemsets Mining Based on Approximate Counting in Data Streams
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    Chapter 36 Advances in PARAFAC Using Parallel Block Decomposition
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    Chapter 37 An Observation Angle Dependent Nonstationary Covariance Function for Gaussian Process Regression
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    Chapter 38 DOA Estimation of Multiple Convolutively Mixed Sources Based on Principle Component Analysis
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    Chapter 39 Weighted Data Normalization Based on Eigenvalues for Artificial Neural Network Classification
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    Chapter 40 The Optimization of Kernel CMAC Based on BYY Learning
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    Chapter 41 Closest Source Selection Using IVA and Characteristic of Mixing Channel
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    Chapter 42 Decomposition Mixed Pixels of Remote Sensing Image Based on 2-DWT and Kernel ICA
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    Chapter 43 Echo Energy Estimation in Active Sonar Using Fast Independent Component Analysis
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    Chapter 44 Improving SVM Classification with Imbalance Data Set
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    Chapter 45 Framework for Object Tracking with Support Vector Machines, Structural Tensor and the Mean Shift Method
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    Chapter 46 Suitable ICA Algorithm for Extracting Saccade-Related EEG Signals
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    Chapter 47 Learning of Mahalanobis Discriminant Functions by a Neural Network
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    Chapter 48 Implementing Learning on the SpiNNaker Universal Neural Chip Multiprocessor
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    Chapter 49 Learning Gaussian Process Models from Uncertain Data
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    Chapter 50 A Bootstrap Artificial Neural Network Based Heterogeneous Panel Unit Root Test in Case of Cross Sectional Independence
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    Chapter 51 A Novel Hierarchical Constructive BackPropagation with Memory for Teaching a Robot the Names of Things
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    Chapter 52 Cellular Neural Networks Template Training System Using Iterative Annealing Optimization Technique on ACE16k Chip
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    Chapter 53 Estimation of Driving Phase by Modeling Brake Pressure Signals
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    Chapter 54 Optimal Hyperparameters for Generalized Learning and Knowledge Discovery in Variational Bayes
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    Chapter 55 Backpropagation Learning Algorithm for Multilayer Phasor Neural Networks
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    Chapter 56 SNIWD: Simultaneous Weight Noise Injection with Weight Decay for MLP Training
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    Chapter 57 Tracking in Reinforcement Learning
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    Chapter 58 Ensembling Heterogeneous Learning Models with Boosting
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    Chapter 59 Improvement Algorithm for Approximate Incremental Learning
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    Chapter 60 A Meta-learning Method Based on Temporal Difference Error
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    Chapter 61 Local Learning Rules for Nonnegative Tucker Decomposition
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    Chapter 62 Comparing Large Datasets Structures through Unsupervised Learning
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    Chapter 63 Applying Duo Output Neural Networks to Solve Single Output Regression Problem
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    Chapter 64 An Incremental Learning Algorithm for Resource Allocating Networks Based on Local Linear Regression
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    Chapter 65 Learning Cooperative Behaviours in Multiagent Reinforcement Learning
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    Chapter 66 Generating Tonal Counterpoint Using Reinforcement Learning
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    Chapter 67 Robust Approximation in Decomposed Reinforcement Learning
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    Chapter 68 Learning of Go Board State Evaluation Function by Artificial Neural Network
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    Chapter 69 Quick Maximum Power Point Tracking of Photovoltaic Using Online Learning Neural Network
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    Chapter 70 Semi-Naïve Bayesian Method for Network Intrusion Detection System
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    Chapter 71 Speaker Recognition Using Pole Distribution of Speech Signals Obtained by Bagging CAN2
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    Chapter 72 Fast Intra Mode Decision for H.264/AVC Based on Directional Information of I4MB
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    Chapter 73 Palmprint Recognition Based on Local DCT Feature Extraction
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    Chapter 74 Representative and Discriminant Feature Extraction Based on NMF for Emotion Recognition in Speech
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    Chapter 75 Improvement of the Neural Network Trees through Fine-Tuning of the Threshold of Each Internal Node
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    Chapter 76 A Synthesis Method of Gene Networks Having Cyclic Expression Pattern Sequences by Network Learning
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    Chapter 77 Gender Identification from Thai Speech Signal Using a Neural Network
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    Chapter 78 Gender Classification Based on Support Vector Machine with Automatic Confidence
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    Chapter 79 Multiple Occluded Face Detection Based on Binocular Saliency Map
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    Chapter 80 A Mutual Information Based Face Recognition Method
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    Chapter 81 Basis Selection for 2DLDA-Based Face Recognition Using Fisher Score
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    Chapter 82 A Robust Keypoints Matching Strategy for SIFT: An Application to Face Recognition
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    Chapter 83 Selecting, Optimizing and Fusing ‘Salient’ Gabor Features for Facial Expression Recognition
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    Chapter 84 Self-Organized Gabor Features for Pose Invariant Face Recognition
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    Chapter 85 Image Hierarchical Segmentation Based on a GHSOM
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    Chapter 86 An Efficient Coding Model for Image Representation
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    Chapter 87 SSTEM Cell Image Segmentation Based on Top-Down Selective Attention Model
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    Chapter 88 Data Partitioning Technique for Online and Incremental Visual SLAM
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    Chapter 89 Improvement of Image Modeling with Affinity Propagation Algorithm for Semantic Image Annotation
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    Chapter 90 An Image Identifier Based on Hausdorff Shape Trace Transform
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    Chapter 91 Personalized Fingerprint Segmentation
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    Chapter 92 Automatic Image Restoration Based on Tensor Voting
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    Chapter 93 Robust Incremental Subspace Learning for Object Tracking
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    Chapter 94 Reversible Data Hiding Using the Histogram Modification of Block Image
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    Chapter 95 A Rock Structure Recognition System Using FMI Images
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    Chapter 96 Analyzing Price Data to Determine Positive and Negative Product Associations
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    Chapter 97 Production Planning Algorithm and Software for Sofa Factory
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    Chapter 98 Ensemble Learning for Imbalanced E-commerce Transaction Anomaly Classification
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    Chapter 99 Exploring Early Classification Strategies of Streaming Data with Delayed Attributes
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    Chapter 100 Exchange Rate Forecasting Using Classifier Ensemble
  102. Altmetric Badge
    Chapter 101 Erratum to: Backpropagation Learning Algorithm for Multilayer Phasor Neural Networks
Overall attention for this book and its chapters
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
11 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Neural Information Processing
Published by
ADS, January 2009
DOI 10.1007/978-3-642-10677-4
ISBNs
978-3-64-210676-7, 978-3-64-210677-4
Editors

Chi Sing Leung, Minho Lee, Jonathan H. Chan

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Taiwan 1 9%
Unknown 10 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 9%
Professor > Associate Professor 1 9%
Unknown 9 82%
Readers by discipline Count As %
Computer Science 1 9%
Agricultural and Biological Sciences 1 9%
Unknown 9 82%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 26 October 2017.
All research outputs
#4,142,229
of 13,770,158 outputs
Outputs from ADS
#6,410
of 26,659 outputs
Outputs of similar age
#113,529
of 315,294 outputs
Outputs of similar age from ADS
#41
of 166 outputs
Altmetric has tracked 13,770,158 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 26,659 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 33rd percentile – i.e., 33% of its peers scored the same or lower than it.
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 315,294 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.
We're also able to compare this research output to 166 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.