NDLI: Visual Perceptual Learning

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2005 International Conference on Neural Networks and Brain

Volume 3 - 2005

Volume 2 - 2005

Volume 1 - 2005

2005 International Conference on Neural Networks and Brain

A Message from the General Chair

A Message from the Technical Program Chair

Conference committee

Technical Program Members

Additional reviewers

The Mathematics of Learning: Dealing With Data

Finding Hidden Factors in Large Spatiotemporal Data Sets

Connecting Brains and Robots by Computational Theories

Statistical Learning For Dependence Mining And Problem Solving: Fundamentals, Challenges, And A Unified Theory

Attention: Bits Versus Wows

Natural Computation: Decision-Making Facing, Conflicting Visual Cues And Crossmodal Interaction Between Olfactoryand Visual Learning in Drosophila

Computational Information Geometry And Its Applications

Modeling Human Auditory Perception For Noise-Robust Speech Recognition

Visual Perceptual Learning

Quotient Space Model Based Hierarchical Machine Learning

Conference Proceedings Overview

Table of contents

Finding Hidden Factors in Large Spatiotemporal Data Sets

The Mathematics of Learning: Dealing with Data

Fundamentals, Challenges, and Advances of Statistical Learning for Knowledge Discovery and Problem Solving: A BYY Harmony Perspective

Attention: Bits versus Wows

Connecting Brains and Robots by Computational Theories

Computational Information Geometry and its Applications

Natural Computation: Decision-Making Facing Conflicting Visual Cues And Crossmodal Interaction Between Olfactory And Visual Learning In Drosophila

Modeling Human Auditory Perception for Noise-Robust Speech Recognition

Visual Perceptual Learning

Quotient Space Model Based Hierarchical Machine Learning

On the Proof of 1-Bit-Matching Conjecture for ICA

Tight bounds for SVM classification error

A Radar Anti-jamming Technology Based on Canonical Correlation Analysis

The New Rough Neuron

Scaling Gaussian RBF kernel width to improve SVM classification

Research on the Mechanical Property of Insect Cuticle with Neural Network

Dynamic Modeling Using Cascade-Correlation RBF Networks for Tilt Rotor Aircraft Platform

A Novel Method to Detect and Separate LFM Signal Based on Artificial Neural Network

On the Fast Convergence of Generalized Congruence Neural Network

On Improvement on Generalization Performance of Classifier by Using Empirical Risk

A Polynomial Time Evolution Algorithm for the Traveling Salesman Problem

Multi-Objective Optimization by a New Dynamical Evolutionary Algorithm Based on the Information Entropy

A New Pattern Recognition Algorithm Based on Fuzzy Association Degree

Wavelet-based Denoised and Feature Extraction of NMR Spectroscopy Based on Pattern Recognition

Algorithm for the Optimal Riding Scheme Problem in Public traffic

A New Immune Optimization Algorithm for Delay-constrained Multicast Routing Problem

Evolutionary TARMA Modeling in Time Serials

A Mixed Evolutionary Algorithm to Solve the O-D Matrix Estimation Problem

Data Mining on Patient Data

Chaos synchronization of coupled Chen_Liao system

A Comparison of Neural network and Fast Fourier Transform-based Approach for the State Analysis of Brain

Blind Detection in VWDK Systems via Sequential Monte Carlo

Qualitative Mapping and Artificial Neuron

A kind of SAaGA Hybrid Meta-heuristic Algorithm for the Automatic Test Data Generation

A Stochastic Neural Model for Graph Problems: Software and Hardware Implementation

A Soft-sensing Technique for Wastewater Treatment Based on BP and RBF Neural Networks

The Kalman Particle Swarm Optimization Algorithm and Its Application in Soft-sensor of Acrylonitrile Yield

A modified neural network based on subtractive clustering for bidding system

Research on Dynamic Bayesian Network in the Nonhomogenous Markov Decision Processes

Global Attractivity of Discrete-Time Recurrent Neural Networks With Lnsaturating Piecewise Linear Activation Functions

Ill-posed MEG Inverse Solution Based on Deterministic Regularization Theory Framework

A Robust Morphological Associative Memory Endowed with Dendrites

Hybrid Genetic Algorithm for Minimizing the Range of Lateness and Make-span on Non-identical Parallel Machines

Facial Feature Extracting Based on Active Shape Model under Fewer Landmarks Condition

Global Asymptotic Stability of Recurrent Neiural Networks with Time-Varying Delays

Novel Features for Polarimetric SAR Image Classification by Neural Network

Optimal Design of Radial Basis Function using Taguchi Method

An Auction-based Negotiation Model in Intelligent Multi-agent System

New Exponential Stability Criteria for Delayed Neural Networks

An Application of Machine Learning in the Criterion Updating of Diagnosis Cancer

The Recognition of Nonlinear Fluorescence Spectra Based on a Support Vector Machine Networks

Generalization Analysis of Neural Networks for Gas Impurity in Air

A Modified Difference Hopfield Neural Network and its application

Testing an Intelligent Landing Signals Officer (LSO) Agent for Conducting Pilot Training in a Helicopter Deck Landing Simulator

Estimating the Leave-one-out Error for Support Vector Regression

Design and Realization of a Meaningful Digital Watermarking Algorithm Based on RBF Neural Network*

Handwritten Numeral Recognition Based on DCT Coefficients and Neural Network

PQ Disturbances Identification Based on SVMs Classifier

PQ Disturbances Identification based on Phase-shift and LS Weighted Fusion Combining Neural Network

The analysis of convergence of hybrid algorithm based on Neural Network and Genetic Algorithm

An Approach to Reduction Based on Correlation Information Vector

Nonlinear System Identification Based on Multi-resolution Support Vector Regression

Neural Integration Approach for Subcortical Structure Segmentation

Synergetic Face Recognition Algorithm Based on ICA

A Study on Functional Link BP Network: Model, Algorithm, and Application

Discrimination Methods for the Classification of Breast Cancer Diagnosis

A Genetic Clustering-Based TCNN Algorithm for Capacity Vehicle Routing Problem

A New Weighting Method and Its Application

An SOM-Based Decoding Algorithm for Multi-class SVM

Multi-objective Adaptive Scheme for Analog Circuit Design Based on Two-layer Genetic Programming

Comparison of SVM and LS-SVM for Regression

Multi-scale Wavelet Support Vector Regression for Soft Sensor Modeling

Research on illegal E-mails recognition Based on Bayesian Formula and Statistical Decision Tree

A Study of Fuzzy Chaotic Neuron

The Structure and Function of Neurons with Variable Nonlinear Transfer Function

A Novel Image Restoration Approach Based on Point Location in High-dimensional Space Geometry

Multiscale Representation and Modeling Based On Irregular Second Tree

The Multi-Scale Maximum Likelihood Estimation of Long Memory Processes

A Modified Particle Swarm Optimization Algorithm

A Novel Multi-Reduced Support Vector Machine

Least Squares Support Vector Machine on Moret Wavelet kernel Function

Strong Convergence of Gradient Methods for BP Networks Training

A New Neuron Model Based on Multilayer Perceptron and Radial Basis Transfer Function

Genetic Neural Network for Traditional Chinese Medicine

A Recognition Method of Reduced Evolutionary Neural Network and Its Application

An Approach to Generate Fuzzy Rules based on Rough Set and Fuzzy Neural Network

Global Optimal ICA and its Application in Brain MEG Data Analysis

BP Neural Network Based on Chaos Simulated Annealing

An Evolutionary Algorithm Using Utility Function as Evolution Directing Function for the Traveling Salesman Problem

Position Estimation for a Mobile Robot with Augmented System State

Research on Optimal Scheduling Model of Antibiotic Fermentation Process

Generalized Causal Inductive Reasoning Model Based on Generalized Causal Cellular Automata

An Self-organizing Neural Network with Convex-hull Expanding Property for TSP

An Independent Component-based Population Data Warehouse

Evolving Ensembles by Boosting

Hybrid committee machine for incremental learning

An Extensional Junction Tree Approximate Inference Algorithm for Dynamic Influence Diagrams

Insect herbivory information detection by Principal Component Analysis on Electronic Nose System

A Biased Competition Model Based on Distributed Chaotic Neural Network

Equi-convergence Algorithm Based on Asymmetric Generalized Gaussian System for Blind Source Separation

Nonlinear System Identification using Least Squares Support Vector Machines

Filtering-Based Actuator Fault Diagnosis using MLP Neural Network for PDFs

A fuzzy neural network approach for quantitative evaluation of mura in TFT-LCD

Computer Tournaments in N-person Stochastic Iterated Prisoner's Dilemma

Variable Step-size Extraction Algorithm for Extracting Fetal Electrocardiogram

A survey of neural network ensembles

Robust Stability Analysis of Interval Neural Networks with Time Delay

Robust Stability Analysis for Time-Delayed Neural Networks with Nonlinear Disturbance

Design of a new kind of RBF neural network based on differential reconstruction

Quantum-Inspired Immune Clonal Optimization

Protein Secondary Structure Prediction using decision fusion of Genetic Algorithm and Simulated Annealing Algorithm

Predicting the Splice Sites in DNA Sequences Using Neural Network Based on Complementary Encoding Method

Constructive Control Lyapunov Functions for a Class of Nonlinear Systems

Particle Swarm Optimization with Local Search

Classification of Microarray Gene Expression Data Using a New Binary Support Vector System

Prediction of Human Immunodeficiency Virus Drug Resistance Using Contact Energies

An Efficient Sequential Learning Algorithm for Growing and Pruning Direct-Link RBF (DRBF) Networks

A Distributed Algorithm Based on Competitive Neural Network for Mining Frequent Patterns

A Real Time Scheduler Using Generic Neural Network for Scheduling with Deadlines

Research and application of SOM neural network which based on kernel function

A Scheme of Function Approximation Based on SVM & NSGA II

Adaptive SAGA based on mutative scale chaos optimization strategy

An Improved Genetic Algorithm for Flow Shop Sequencing

Mining Maximal Sequential Patterns

An Evaluation Model for Web Services

An Improved Delay Feedback Control Method in a Chaotic Neural Network

An Over-sampling Expert System for Learing from Imbalanced Data Sets

Measurement of Space-filling Techniques in Simulating the Minority Game

Immune Optimization Algorithm based on MHC Regulation

Learning of Weighted Fuzzy Production Rules by Using a FNN

Classification for Incomplete Data Using Classifier Ensembles

Fault Diagnosis for Batch Processes Using Multi-model FDA with Moving Window

Wavelet Threshold Optimization with Artificial Fish Swarm Algorithm

Stability Analysis of Continuous Hopfield Neural Networks with Delay

A Robust Proximal Support Vector Machines for Classification

Collective Information Maximization for Self-Organizing Maps

An adaptive function neural network (ADFUNN) classifier

An improved learning algorithm for compact RBF networks

Continuous optimization based-on greedy estimation of GMM

Lamarkian Clonal Selection Algorithm for CDMA Multiuser Detection over Multi-Path Channels

Visual Perceptual Learning

Content Provider	IEEE Xplore Digital Library
Author	Zhongzhi Shi
Copyright Year	2005
Description	Author affiliation: Professor, Institute of Computing Technology, Chinese Academy of Sciences, CHINA (Zhongzhi Shi)
Abstract	Perceptual learning should be considered as an active process that embeds particular abstraction, reformulation and approximation within the Abstraction framework. The active process refers to the fact that the search for a correct data representation is perfonned through several steps. A key point is that perceptual learning focuses on low-level abstraction mechanism instead of trying to rely on more complex algorithm. In fact, from the machine learing viewpoint, Perceptual learning can be seen as a particular abstraction that may help to simplify complex problem thanks to a computable representation. Indeed, the baseline of Abstraction, i.e. choosing the relevant data to ease the learning task, is that many problems in machine learning cannot be solve because of the complexity of the representation and is not related to the learning algorithm, which is referred to as the phase transition problem. Within the Abstraction framework, we use the term perceptual learning to refer to specific learning task that rely on iterative representation changes and that deals with real-world data which human can perceive. In this talk we focus on sparse coding theory and granular computing model for visual perceptual learning. We propose an attention-guided sparse coding model. This model includes two modules: nonuniform sampling module simulating the process of retina and data-driven attention module based on the response saliency. Based on tolerance relation we construct a more uniform granulation model, which is established on both consecutive space and discrete attribute space.
File Size	182771
File Format	PDF
ISBN	0780394224
DOI	10.1109/ICNNB.2005.1614541
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-10-13
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computers Machine learning algorithms Codes Computational modeling Humans Machine learning Nonuniform sampling Retina Iterative algorithms
Content Type	Text
Resource Type	Article

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