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Machine Learning in Computer Vision PDF

249 Pages·2005·6.527 MB·English
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by Michele Maggiore| 2005| 249 pages| 6.527| English

About Machine Learning in Computer Vision

The goal of this book is to address the use of several important machine learning techniques into computer vision applications. An innovative combination of computer vision and machine learning techniques has the promise of advancing the field of computer vision, which contributes to better understanding of complex real-world applications. The effective usage of machine learning technology in real-world computer vision problems requires understanding the domain of application, abstraction of a learning problem from a given computer vision task, and the selection of appropriate representations for the learnable (input) and learned (internal) entities of the system. In this book, we address all these important aspects from a new perspective: that the key element in the current computer revolution is the use of machine learning to capture the variations in visual appearance, rather than having the designer of the model accomplish this. As a bonus, models learned from large datasets are likely to be more robust and more realistic than the brittle all-design models.

Detailed Information

Author:Michele Maggiore
Publication Year:2005
ISBN:198520735
Pages:249
Language:English
File Size:6.527
Format:PDF
Price:FREE
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