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Neural Information Processing

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Cover of 'Neural Information Processing'

Table of Contents

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    Book Overview
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    Chapter 1 Non-parametric e-mixture of Density Functions
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    Chapter 2 An Entropy Estimator Based on Polynomial Regression with Poisson Error Structure
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    Chapter 3 A Problem in Model Selection of LASSO and Introduction of Scaling
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    Chapter 4 A Theoretical Analysis of Semi-supervised Learning
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    Chapter 5 Evolutionary Multi-task Learning for Modular Training of Feedforward Neural Networks
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    Chapter 6 On the Noise Resilience of Ranking Measures
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    Chapter 7 BPSpike II: A New Backpropagation Learning Algorithm for Spiking Neural Networks
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    Chapter 8 Group Dropout Inspired by Ensemble Learning
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    Chapter 9 Audio Generation from Scene Considering Its Emotion Aspect
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    Chapter 10 Semi Supervised Autoencoder
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    Chapter 11 Sampling-Based Gradient Regularization for Capturing Long-Term Dependencies in Recurrent Neural Networks
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    Chapter 12 Face Hallucination Using Correlative Residue Compensation in a Modified Feature Space
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    Chapter 13 Modal Regression via Direct Log-Density Derivative Estimation
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    Chapter 14 Simplicial Nonnegative Matrix Tri-factorization: Fast Guaranteed Parallel Algorithm
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    Chapter 15 Active Consensus-Based Semi-supervised Growing Neural Gas
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    Chapter 16 Kernel L1-Minimization: Application to Kernel Sparse Representation Based Classification
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    Chapter 17 Nuclear Norm Regularized Randomized Neural Network
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    Chapter 18 Gram-Schmidt Orthonormalization to the Adaptive ICA Function for Fixing the Permutation Ambiguity
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    Chapter 19 Data Cleaning Using Complementary Fuzzy Support Vector Machine Technique
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    Chapter 20 Fault-Tolerant Incremental Learning for Extreme Learning Machines
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    Chapter 21 Character-Aware Convolutional Neural Networks for Paraphrase Identification
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    Chapter 22 Learning a Discriminative Dictionary with CNN for Image Classification
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    Chapter 23 Online Weighted Multi-task Feature Selection
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    Chapter 24 Multithreading Incremental Learning Scheme for Embedded System to Realize a High-Throughput
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    Chapter 25 Hyper-Parameter Tuning for Graph Kernels via Multiple Kernel Learning
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    Chapter 26 A Corrector for the Sample Mahalanobis Distance Free from Estimating the Population Eigenvalues of Covariance Matrix
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    Chapter 27 Online Learning Neural Network for Adaptively Weighted Hybrid Modeling
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    Chapter 28 Semi-supervised Support Vector Machines - A Genetic Algorithm Approach
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    Chapter 29 Hinge Loss Projection for Classification
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    Chapter 30 Analytical Incremental Learning: Fast Constructive Learning Method for Neural Network
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    Chapter 31 Acceleration of Word2vec Using GPUs
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    Chapter 32 Automatic Design of Neural Network Structures Using AiS
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    Chapter 33 Sequential Collaborative Ranking Using (No-)Click Implicit Feedback
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    Chapter 34 Group Information-Based Dimensionality Reduction via Canonical Correlation Analysis
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    Chapter 35 Simplification of Processing Elements in Cellular Neural Networks
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    Chapter 36 Pattern and Frequency Generation Using an Opto-Electronic Reservoir Computer with Output Feedback
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    Chapter 37 A Retino-Morphic Hardware System Simulating the Graded and Action Potentials in Retinal Neuronal Layers
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    Chapter 38 Stability Analysis of Periodic Orbits in Digital Spiking Neurons
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    Chapter 39 Letter Reproduction Simulator for Hardware Design of Cellular Neural Network Using Thin-Film Synapses
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    Chapter 40 An Analysis of Current Source Density Profiles Activated by Local Stimulation in the Mouse Auditory Cortex in Vitro
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    Chapter 41 Differential Effect of Two Types of Anesthesia on Sound-Driven Oscillations in the Rat Primary Auditory Cortex
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    Chapter 42 Developing an Implantable Micro Magnetic Stimulation System to Induce Neural Activity in Vivo
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    Chapter 43 “Figure” Salience as a Meta-Rule for Rule Dynamics in Visual Perception
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    Chapter 44 A Neural Network Model for Retaining Object Information Required in a Categorization Task
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    Chapter 45 Weighted Discriminant Analysis and Kernel Ridge Regression Metric Learning for Face Verification
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    Chapter 46 An Incremental One Class Learning Framework for Large Scale Data
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    Chapter 47 Gesture Spotting by Using Vector Distance of Self-organizing Map
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    Chapter 48 Cross-Database Facial Expression Recognition via Unsupervised Domain Adaptive Dictionary Learning
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    Chapter 49 Adaptive Multi-view Semi-supervised Nonnegative Matrix Factorization
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    Chapter 50 Robust Soft Semi-supervised Discriminant Projection for Feature Learning
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    Chapter 51 A Hybrid Pooling Method for Convolutional Neural Networks
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    Chapter 52 Multi-nation and Multi-norm License Plates Detection in Real Traffic Surveillance Environment Using Deep Learning
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    Chapter 53 A Study on Cluster Size Sensitivity of Fuzzy c-Means Algorithm Variants
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    Chapter 54 Influence Spread Evaluation and Propagation Rebuilding
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    Chapter 55 A Tag Probability Correlation Based Microblog Recommendation Method
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    Chapter 56 A New Model and Heuristic for Infection Minimization by Cutting Relationships
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    Chapter 57 Sentiment and Behavior Analysis of One Controversial American Individual on Twitter
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    Chapter 58 Emotion Recognition Using Multimodal Deep Learning
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    Chapter 59 Continuous Vigilance Estimation Using LSTM Neural Networks
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    Chapter 60 Motor Priming as a Brain-Computer Interface
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    Chapter 61 Discriminating Object from Non-object Perception in a Visual Search Task by Joint Analysis of Neural and Eyetracking Data
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    Chapter 62 Assessing the Properties of Single-Trial Fixation-Related Potentials in a Complex Choice Task
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    Chapter 63 Unconstrained Face Detection from a Mobile Source Using Convolutional Neural Networks
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    Chapter 64 Driver Face Detection Based on Aggregate Channel Features and Deformable Part-Based Model in Traffic Camera
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    Chapter 65 Segmentation with Selectively Propagated Constraints
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    Chapter 66 Gaussian-Bernoulli Based Convolutional Restricted Boltzmann Machine for Images Feature Extraction
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    Chapter 67 Gaze Movement Control Neural Network Based on Multidimensional Topographic Class Grouping
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    Chapter 68 Incremental Robust Nonnegative Matrix Factorization for Object Tracking
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    Chapter 69 High Precision Direction-of-Arrival Estimation for Wideband Signals in Environment with Interference Based on Complex-Valued Neural Networks
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    Chapter 70 Content-Based Image Retrieval Using Deep Search
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    Chapter 71 Robust Part-Based Correlation Tracking
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    Chapter 72 A New Weight Adjusted Particle Swarm Optimization for Real-Time Multiple Object Tracking
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    Chapter 73 Fast Visual Object Tracking Using Convolutional Filters
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    Chapter 74 An Effective Approach for Automatic LV Segmentation Based on GMM and ASM
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    Chapter 75 Position Gradient and Plane Consistency Based Feature Extraction
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    Chapter 76 Fusion of Multi-view Multi-exposure Images with Delaunay Triangulation
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    Chapter 77 Detection of Human Faces Using Neural Networks
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    Chapter 78 Compound PDE-Based Image Restoration Algorithm Using Second-Order and Fourth-Order Diffusions
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    Chapter 79 Multi-swarm Particle Grid Optimization for Object Tracking
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    Chapter 80 Energy-Based Multi-plane Detection from 3D Point Clouds
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    Chapter 81 Bi-Lp-Norm Sparsity Pursuiting Regularization for Blind Motion Deblurring
Attention for Chapter 44: A Neural Network Model for Retaining Object Information Required in a Categorization Task
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Chapter title
A Neural Network Model for Retaining Object Information Required in a Categorization Task
Chapter number 44
Book title
Neural Information Processing
Published in
Lecture notes in computer science, September 2016
DOI 10.1007/978-3-319-46672-9_44
Book ISBNs
978-3-31-946671-2, 978-3-31-946672-9
Authors

Yuki Abe, Kazuhisa Fujita, Yoshiki Kashimori

Editors

Akira Hirose, Seiichi Ozawa, Kenji Doya, Kazushi Ikeda, Minho Lee, Derong Liu