Similarity learning for 3D object retrieval using relevance feedback and risk minimization

International Journal of Computer Vision

Volumn 89, Issue 2-3, 2010, Pages 392-407

  Akgül, Ceyhun Burak ^a   Sankur, Bülent ^b   Yemez, Yücel ^c   Schmitt, Francis ^d  

^a PHILIPS RESEARCH LABORATORIES   (Netherlands)

^b BOGAZICI UNIVERSITY   (Turkey)

^c KOÇ UNIVERSITY   (Turkey)

^d TELECOM PARISTECH   (France)

Author keywords

3D object retrieval; Empirical ranking risk; Relevance feedback; Similarity models and learning; Support vector machines

Indexed keywords

3D DATABASE; 3D OBJECT RETRIEVAL; DISCRIMINATIVE TRAINING; LEARNING SCHEMES; LEARNING SUPPORT; OFF-LINE LEARNING; OPTIMAL COMBINATION; POSTERIOR PROBABILITY; RELEVANCE FEEDBACK; RETRIEVAL PERFORMANCE; RISK MINIMIZATION; SCORE FUSION; SHAPE DESCRIPTORS; SIMILARITY FUNCTIONS; SIMILARITY MODELS; SIMILARITY SCORES; SMALL SAMPLES;

ALGORITHMS; FEEDBACK; INFORMATION RETRIEVAL; OPTIMIZATION; SUPPORT VECTOR MACHINES;

THREE DIMENSIONAL;

EID: 77953286374     PISSN: 09205691     EISSN: 15731405     Source Type: Journal    
DOI: 10.1007/s11263-009-0294-1     Document Type: Article

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