Local subspace classifiers: Linear and nonlinear approaches

Machine Learning for Signal Processing 17 - Proceedings of the 2007 IEEE Signal Processing Society Workshop, MLSP

Volumn , Issue , 2007, Pages 57-62

  Cevikalp, Hakan ^a,b   Larlus, Diane ^b   Douze, Matthijs ^b   Jurie, Frederic ^a,b  

^a IEEE

^b INRIA RHÔNE ALPES   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); CLASSIFIERS; ROBOT LEARNING; SIGNAL PROCESSING; SUPPORT VECTOR MACHINES; VECTORS;

CASE BASED; CLASSIFICATION METHODS; CLASSIFICATION TASKS; DECISION SURFACES; DISCRIMINATIVE COMMON VECTORS; DISTANCE FUNCTIONS; DISTANCE METRICS; EUCLIDEAN DISTANCES; IEEE SIGNAL PROCESSING SOCIETY; INTRA-CLASS VARIATIONS; K-LOCAL HYPERPLANE; LOCAL LINEAR; MACHINE-LEARNING; NEAREST NEIGHBORS; NONLINEARIZATION; ORIGINAL SAMPLE; SUPPORT-VECTOR MACHINE;

LEARNING SYSTEMS;

EID: 48149105171     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MLSP.2007.4414282     Document Type: Conference Paper

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