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Technical Machine Learning in Computer Vision (Repost)

Posted on 2010-06-04




Name:Technical Machine Learning in Computer Vision (Repost)
ASIN/ISBN:1402032749
Publisher:Springer 2005
Publish Date:1402032749
Pages:242 Pages
File size:5 Mb
Publisher: Springer 2005
Pages: 242 Pages
ISBN: 1402032749
File Type: PDF
File Size: 5 MB
   Technical Machine Learning in Computer Vision (Repost)

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Machine Learning in Computer Vision By Nicu Sebe, Ira Cohen, Ashutosh Garg, Thomas S. Huang

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.

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