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Advances in Pattern Recognition Systems Using Neural Network

By: I Guyon (Editor), P S P Wang (Editor)

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Part of the Series in Machine Perception and Artificial Intelligence, this book deals with the principles and applications of pattern recognition systems using neural network technologies. It includes a chapter on a system for the recognition of partially occluded objects in cluttered scenes.

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Non-Fiction Computing & I.T.Computer Science Artificial Intelligence Computer Vision Neural Networks & Fuzzy Systems Pattern Recognition Booktopia Publisher Services World Scientific Publishing

Preface	p. 1
A Connectionist Approach to Speech Recognition	p. 3
Signature Verification Using A "Siamese" Time Delay Neural Network	p. 25
Off Line Recognition of Handwritten Postal Words Using Neural Networks	p. 45
Boosting Performance in Neural Networks	p. 61
Multi-Modular Neural Network Architectures: Applications in Optical Character and Human Face Recognition	p. 77
An Integrated Architecture for Recognition of Totally Unconstrained Handwritten Numerals	p. 113
Comparison of Neural Network and K-NN Classification Methods in Vowel and Patellar Subluxation Image Recognitions	p. 131
Time-Warping Network: A Neural Approach to Hidden Markov Model Based Speech Recognition	p. 139
Computing Optical Flow with a Recurrent Neural Network	p. 157
Invariant Object Recognition Based on a Neural Network of Cascaded RCE Nets	p. 171
Integrated Segmentation and Recognition Through Exhaustive Scans or Learned Saccadic Jumps	p. 187
Experimental Comparison of the Effect of Order in Recurrent Neural Networks	p. 205
Structured Networks for Adaptive Language Acquisition	p. 229
Hybrid Neural Network/Hidden Markov Model Systems for Continuous Speech Recognition	p. 255
Adaptive Classification by Neural Net Based Prototype Populations	p. 273
A Neural System for the Recognition of Partially Occluded Objects in Cluttered Scenes: A Pilot Study	p. 291
A Hybrid Continuous Speech Recognition System Using Segmental Neural Nets with Hidden Markov Models	p. 305
Table of Contents provided by Blackwell. All Rights Reserved.

Advances in Pattern Recognition Systems Using Neural Network

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