Kernel Learning Algorithms For Face Recognition - Info and Reading Options
By Jun-Bao Li
"Kernel Learning Algorithms For Face Recognition" was published by Springer in 2012 - New York, NY s.l and it has 225 pages.
“Kernel Learning Algorithms For Face Recognition” Metadata:
- Title: ➤ Kernel Learning Algorithms For Face Recognition
- Author: Jun-Bao Li
- Number of Pages: 225
- Publisher: Springer
- Publish Date: 2012
- Publish Location: New York, NY s.l
“Kernel Learning Algorithms For Face Recognition” Subjects and Themes:
- Subjects: ➤ Human face recognition (Computer science) - Machine learning - Algorithms - Kernel functions - Face perception
Edition Identifiers:
- The Open Library ID: OL26104331M - OL17515700W
- Library of Congress Control Number (LCCN): 2013944551
- ISBN-13: 9781461401605 - 9781461401612
- All ISBNs: 9781461401605 - 9781461401612
AI-generated Review of “Kernel Learning Algorithms For Face Recognition”:
"Kernel Learning Algorithms For Face Recognition" Description:
Open Data:
This book discusses the advanced kernel learning algorithms and its application on face recognition. The book focuses on the theoretical deviation, the system framework and experiments involving kernel based face recognition. This authors aim to solve the parameter selection problems endured by kernel learning algorithms, and presents kernel optimization method with the data dependent kernel. This text extends the definition of data-dependent kernel and applies it to kernel optimization. Included within are algorithms of kernel based face recognition and the feasibility of the kernel based face recognition method
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