Symbolic Visual Learning

Name: Symbolic Visual Learning
Price: 7.79 USD
Availability: InStock
ISBN: 9780195098709

ISBN-10: 0195098706

ISBN-13: 9780195098709

Edition: 1997

Authors: Katsushi Ikeuchi, Manuela Velosa

List price: $195.00

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Some of the fundamental constraints of automated machine vision have been the inability to automatically adapt parameter settings or utilize previous adaptations in changing environments. Symbolic Visual Learning presents research which adds visual learning capabilities to computer vision systems. Using this state-of-the-art recognition technology, the outcome is different adaptive recognition systems that can measure their own performance, learn from their experience and outperform conventional static designs. Written as a companion volume to Early Visual Learning (edited by S. Nayar and T. Poggio), this book is intended for researchers and students in machine vision and machine learning.

Book details

List price: $195.00
Copyright year: 1997
Publisher: Oxford University Press, Incorporated
Publication date: 5/1/1997
Binding: Hardcover
Pages: 364
Size: 7.28" wide x 10.35" long x 0.87" tall
Weight: 1.760
Language: English




The Visual Learning Problem




MULTI-HASH: Learning Object Attributes and Hash Tablesfor Fast 3D Object Recognition




Learning Control Strategies for Object Recognition




PADO: A New Learning Architecture for ObjectRecognition




Learning Organization Hierarchies of LargeModelbases for Fast Recognition




Application of Machine Learning in Function-BasedRecognition




Learning a Visual Model and an ImageProcessing Strategy from a Series of Silhouette Images on MIRACLE-IV




Assembly Plan from Observation




Visual Event Perception




A Knowledge Framework for Seeing and Learning




J. O'Sullivan,<c>T.M. Mitchell</c><f>Mitchell, T.M.</f><c>S. Thrun</c><f>Thrun, S.</f>




A. Redish<c>D.S. Touretzky</c><f>Touretzky, D.S.</f>