Kernel Learning Algorithms for Face Recognition - Info and Reading Options
By Jun-Bao Li
"Kernel Learning Algorithms for Face Recognition" was published by Springer London, Limited in 2013 - New York, NY s.l, it has 225 pages and the language of the book is English.
“Kernel Learning Algorithms for Face Recognition” Metadata:
- Title: ➤ Kernel Learning Algorithms for Face Recognition
- Author: Jun-Bao Li
- Language: English
- Number of Pages: 225
- Publisher: Springer London, Limited
- Publish Date: 2013
- 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: OL34472218M - OL17515700W
- ISBN-13: 9781461401612
- All ISBNs: 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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