Sparse representation based on projection method in online least squares support vector machines

Journal of Control Theory and Applications

Volumn 7, Issue 2, 2009, Pages 163-168

  Li, Lijuan ^a,b   Su, Hongye ^a   Chu, Jian ^a  

^a STATE KEY LABORATORY OF INDUSTRIAL CONTROL TECHNOLOGY   (China)

^b NANJING TECH UNIVERSITY   (China)

Author keywords

Isomerization; Least squares support vector machines; pH neutralizing process; Projection; Sparsity

Indexed keywords

BASIS VECTOR; COMPUTING TIME; DATA SIZE; LEAST SQUARES SUPPORT VECTOR MACHINES; ONLINE MODELING; PROJECTION; PROJECTION METHOD; RECURSIVE APPROACH; SPARSE APPROXIMATIONS; SPARSE REPRESENTATION; SPARSITY; SQUARED DISTANCES; SVM ALGORITHM;

APPROXIMATION ALGORITHMS; CURVE FITTING; ELECTRON TRANSITIONS; IMAGE RETRIEVAL; ISOMERIZATION; ISOMERS; RESEARCH AIRCRAFT; SET THEORY; SUPPORT VECTOR MACHINES; VECTORS;

LEAST SQUARES APPROXIMATIONS;

EID: 65949090530     PISSN: 16726340     EISSN: 10008152     Source Type: Journal    
DOI: 10.1007/s11768-009-7026-5     Document Type: Article

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