Description: This book presents applications of machine learning techniques in processing multimedia large-scale data. Multimedia such as text, image, audio, video, and graphics stands as one of the most demanding and exciting aspects of the information era. The book discusses new challenges faced by researchers in dealing with these large-scale data and also presents innovative solutions to address several potential research problems, e.g., enabling comprehensive visual classification to fill the semantic gap by exploring large-scale data, offering a promising frontier for detailed multimedia understanding, as well as extract patterns and making effective decisions by analyzing the large collection of data.
Price: 121.41 USD
Location: Matthews, North Carolina
End Time: 2024-08-14T12:37:11.000Z
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Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money back or replacement (buyer's choice)
Publication Year: 2021
Series: See Details
Type: Textbook
Format: Hardcover
Subject Area: Multimedia
Language: English
Publication Name: Machine Learning for Intelligent Multimedia
Author: Amit Kurmar Sing
Educational Level: See Details
Level: See Details
Publisher: Springer
Subject: Engineering & Technology
