Improving visualization, scalability and performance of multiclass problems with SVM manifold learning

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5495 LNCS, Issue , 2009, Pages 370-379

  Silva, Catarina ^a,b   Ribeiro, Bernardete ^b  

^a POLYTECHNIC INSTITUTE OF LEIRIA   (Portugal)

^b UNIVERSITY OF COIMBRA   (Portugal)

Author keywords

[No Author keywords available]

Indexed keywords

BASE-LINE PERFORMANCE; FEATURE REDUCTION; GEODESIC DISTANCES; GEOMETRIC CHARACTERISTICS; ISOMETRIC MAPPING; LEARNING FRAMEWORKS; LOW-DIMENSIONAL SPACES; MANIFOLD LEARNING; MULTI-CLASS; MULTI-CLASS CLASSIFICATION; MULTI-CLASS PROBLEMS; PRIOR INFORMATION; REDUCED SPACE; TEXT CLASSIFICATION;

ALGORITHMS; CHARACTER RECOGNITION; SCALABILITY; SUPPORT VECTOR MACHINES; TEXT PROCESSING; VISUALIZATION;

SPEECH RECOGNITION;

EID: 78650740791     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04921-7_38     Document Type: Conference Paper

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