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.
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Shree K. Nayar, Associate Professor in the Computer Science Department, Columbia University. Tomaso Poggio, Professor in the Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology.
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