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

Author:   Francesco Camastra ,  Alessandro Vinciarelli
Publisher:   Springer London Ltd
Edition:   2nd ed. 2015
ISBN:  

9781447167341


Pages:   561
Publication Date:   03 August 2015
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Our Price $263.97 Quantity:  
Add to Cart

Share |

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


Add your own review!

Overview

Full Product Details

Author:   Francesco Camastra ,  Alessandro Vinciarelli
Publisher:   Springer London Ltd
Imprint:   Springer London Ltd
Edition:   2nd ed. 2015
Dimensions:   Width: 15.50cm , Height: 3.20cm , Length: 23.50cm
Weight:   9.871kg
ISBN:  

9781447167341


ISBN 10:   1447167341
Pages:   561
Publication Date:   03 August 2015
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Reviews

From the reviews: A book that focuses on the intersection and intersection of these two fast-growing areas could not be better timed. the book is organized into three major parts that cover audio and video processing, machine learning, and applications. On the whole, this is a valuable and timely reference book for those interested in machine learning or audio, video, and image processing, although the need for a well-integrated book on this topic still remains. (M. Sasikumar, ACM Computing Reviews, December, 2008) this book, unlike most other books in this field, not only introduces a few widely used techniques in audio and image analysis, but also discusses the latest advancements in the field. Distinct from other books, it also points out several public software packages and benchmark data sets that encourage the reader to have a hands-on experience on how machine-learning techniques work to analyze audio and visual content. Its comprehensive coverage on recent development in this research area makes it easy for experienced researchers to further explore the latest techniques. it is ideal as a textbook or supplemental material for senior graduate courses or advanced topic seminars. (Jie Yu, Journal of Electronic Imaging, Vol. 18, Apr Jun 2009)


Author Information

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions
Latest Reading Guide

MRG2025CC

 

Shopping Cart
Your cart is empty
Shopping cart
Mailing List