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Springer Machine Learning for Multimedia Content Analysis Book

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Description

Explore advanced machine learning techniques for modeling multimedia data with this specialized volume from Springer. Part of the Multimedia Systems and Applications series, this book provides a deep look into effective methods for multimedia content analysis. It bridges the gap between theory and practice by demonstrating how key machine learning techniques are applied through specific case studies. This resource is designed for those studying or working in computer science, specifically within the fields of AI and machine learning, to help them understand the practical implementation of modeling complex multimedia data.

Key Features

This Springer publication introduces machine learning techniques designed specifically for modeling multimedia data.

The book covers common tasks involved in multimedia content analysis through technical instruction.

Practical applications of key machine learning methods are demonstrated using various case studies.

This volume is part of the Multimedia Systems and Applications series, number 30.

It serves as a technical resource for the field of AI and machine learning within computer science.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
23 November 2010
Listed Since
01 October 2010

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