DocumentCode
463673
Title
Online Kernel-Based Classification by Projections
Author
Slavakis, Konstantinos ; Theodoridis, S. ; Yamada, Isao
Author_Institution
Dept. of Inf. & Telecommun., Athens Univ., Greece
Volume
2
fYear
2007
fDate
15-20 April 2007
Abstract
The goal of this paper is the development of a novel efficient online kernel-based algorithm for classification. The spirit of the algorithm stems from the recently introduced adaptive projected subgradient method. This is a general convex analytic tool that employs projections onto a sequence of convex sets and it can be considered as a generalization of the celebrated APA algorithm, widely used in classical adaptive filtering.
Keywords
adaptive filters; pattern classification; set theory; APA algorithm; adaptive filtering; adaptive projected subgradient method; convex set sequence; general convex analytic tool; online kernel-based classification; Adaptive filters; Algorithm design and analysis; Classification algorithms; Filtering algorithms; Hilbert space; Informatics; Kernel; Pattern analysis; Space technology; Training data; Adaptive systems; Pattern classification;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
Conference_Location
Honolulu, HI
ISSN
1520-6149
Print_ISBN
1-4244-0727-3
Type
conf
DOI
10.1109/ICASSP.2007.366263
Filename
4217436
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