Sparse representation in Szego kernels through reproducing kernel Hilbert space theory with applications

doi:10.1142/S0219691315500307

Residential College	false
Status	已發表Published
	Sparse representation in Szego kernels through reproducing kernel Hilbert space theory with applications
	Mo Y.1,2; Qian T.1,2; Mi W.3
	2015
Source Publication	International Journal of Wavelets, Multiresolution and Information Processing
ISSN	0219-6913
Volume	13 Issue:4
Abstract	This paper discusses generalization bounds for complex data learning which serve as a theoretical foundation for complex support vector machine (SVM). Drawn on the generalization bounds, a complex SVM approach based on the Szego kernel of the Hardy space H² (D) is formulated. It is applied to the frequency-domain identification problem of discrete linear time-invariant system (LTIS). Experiments show that the proposed algorithm is effective in applications.
Keyword	Frequency-domain Identification Reproducing Kernel Hilbert Space Sparse Representation Support Vector Machine Szego Kernel
DOI	10.1142/S0219691315500307
URL	View the original
Indexed By	SCIE
Language	英語English
WOS Research Area	Computer Science ; Mathematics
WOS Subject	Computer Science, Software Engineering ; Mathematics, Interdisciplinary Applications
WOS ID	WOS:000358621600012
Scopus ID	2-s2.0-84938306282
Fulltext Access	View Full-Text via DOI View Full-Text via Web of Science View Full-Text via Scopus
Citation statistics
Document Type	Journal article
Collection	University of Macau
Corresponding Author	Mo Y.
Affiliation	1.Department of Mathematics University of Macau, Macao 2.School of Mathematical Sciences Chongqing Normal University Chongqing, 40113, P. R. China 3.School of Mathematical Science University of Electronic Science and Technology of China, P. R. China
First Author Affilication	University of Macau
Corresponding Author Affilication	University of Macau
Recommended Citation GB/T 7714	Mo Y.,Qian T.,Mi W.. Sparse representation in Szego kernels through reproducing kernel Hilbert space theory with applications[J]. International Journal of Wavelets, Multiresolution and Information Processing, 2015, 13(4).
APA	Mo Y.., Qian T.., & Mi W. (2015). Sparse representation in Szego kernels through reproducing kernel Hilbert space theory with applications. International Journal of Wavelets, Multiresolution and Information Processing, 13(4).
MLA	Mo Y.,et al."Sparse representation in Szego kernels through reproducing kernel Hilbert space theory with applications".International Journal of Wavelets, Multiresolution and Information Processing 13.4(2015).

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