Featuring contributions from experts in the field of computer vision, this work focuses 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 should be of interest to researchers and has potential as a graduate level text in a visual learning course.
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"The book has a lot to offer to researchers interested in recognition. With few exceptions the assembled papers describe systems that learn to recognize.' In particular almost half of the book is devoted to view-centered, appearance-based techniques for object recognition. . . .The reader gets a good overview of representations, techniques and methods well established and tested mainly in pattern recognition systems that are directly applicable in vision." --BMVA News
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