Title :
Online Kernel-Based Classification by Projections
Author :
Slavakis, Konstantinos ; Theodoridis, S. ; Yamada, Isao
Author_Institution :
Dept. of Inf. & Telecommun., Athens Univ., Greece
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;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
1-4244-0727-3
DOI :
10.1109/ICASSP.2007.366263
