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Download ebook: Machine Learning for Audio, Image and Video Analysis - Theory and Applications

Machine Learning for Audio, Image and Video Analysis - Theory and Applications. Ashutosh Garg, Ira Cohen, Nicu Sebe, Thomas S. Huang

Machine Learning for Audio, Image and Video Analysis - Theory and Applications



Download Machine Learning for Audio, Image and Video Analysis - Theory and Applications



Machine Learning for Audio, Image and Video Analysis - Theory and Applications Ashutosh Garg, Ira Cohen, Nicu Sebe, Thomas S. Huang ebook pdf
Publisher: Springer
Language: English
Page: 484
ISBN: 1402032749, 9781402032745

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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نوشته شده در : دوشنبه 26 تیر 1391  توسط : Megan Collins.    نظرات() .

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