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Machine learning for audio, image and video analysis : theory and applications

Author: Francesco Camastra; Alessandro Vinciarelli
Publisher: London : Springer, ©2008.
Series: Advanced information and knowledge processing.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
Machine Learning involves several scientific domains including mathematics, computer science, statistics and biology, and is an approach that enables computers to automatically learn from data. Focusing on complex media and how to convert raw data into useful information, this book offers both introductory and advanced material in the combined fields of machine learning and image/video processing. The machine  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Camastra, Francesco, 1960-
Machine learning for audio, image and video analysis.
London : Springer, ©2008
(DLC) 2007932413
(OCoLC)166357875
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Francesco Camastra; Alessandro Vinciarelli
ISBN: 9781848000070 1848000073 9781848000063 1848000065
OCLC Number: 233972990
Description: 1 online resource (xvi, 494 pages) : illustrations.
Contents: From Perception to Computation --
Audio Acquisition, Representation and Storage --
Image and Video Acquisition, Representation and Storage --
Machine Learning --
Machine Learning --
Bayesian Theory of Decision --
Clustering Methods --
Foundations of Statistical Learning and Model Selection --
Supervised Neural Networks and Ensemble Methods --
Kernel Methods --
Markovian Models for Sequential Data --
Feature Extraction Methods and Manifold Learning Methods --
Applications --
Speech and Handwriting Recognition --
Automatic Face Recognition --
Video Segmentation and Keyframe Extraction.
Series Title: Advanced information and knowledge processing.
Responsibility: Francesco Camastra, Alessandro Vinciarelli.
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Abstract:

This book illustrates how to deal with complex media and convert raw data into useful information. Students and researchers needing a solid foundation or reference, and practitioners interested in  Read more...

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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 Read more...

 
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