Early Visual Learning

by Nayar, Shree K.; Poggio, Tomaso

• ISBN13: 9780195095227
• ISBN10: 0195095227
• Format: Hardcover
• Copyright: 1996-06-13
• Publisher: Oxford University Press

Summary

Featuring contributions from experts in the field of computer vision, Early Visual Learning represents the cutting edge of research in this field. The editors focus on learning techniques that are applied more or less directly to the signals provided by vision sensors. The emphasis is on low-level visual learning techniques that draw on results in the fields of statistics, pattern recognition and neural networks. This book will be of interest to researchers and has potential as a graduate level text in a visual learning course.

Table of Contents

Early Visual Learning

View Invariant Representations in Monkey Temporal Cortex: Position, Scale,and Rotational Invariance

Regularization Networks for Visual Learning

Learning Probabilistic Appearance Models for Object Recognition

Probabilistic Visual Learning for Object Representation

Parametric Appearance Representation

Neural Network Vision for Robot Driving

Cresceptron and SHOSLIF: Toward Comprehensive Visual Learning

Memorization Learning for Object Recognition

Learning to Catalog Science Images

Genetic Algorithms for Adaptive Image Segmentation

Non-Parametric Texture Learning

Unsupervised Visual-Tactile Learning for Control of Manipulation

Index

Table of Contents provided by Publisher. All Rights Reserved.