Pseudo relevance feedback based on iterative probabilistic one-class SVMs in web image retrieval

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

Volumn 3332, Issue , 2004, Pages 213-220

  He, Jingrui ^a   Li, Mingjing ^b   Li, Zhiwei ^b   Zhang, Hong Jiang ^b   Tong, Hanghang ^a   Zhang, Changshui ^a  

^a TSINGHUA UNIVERSITY   (China)

^b MICROSOFT RESEARCH ASIA   (China)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE ENHANCEMENT; IMAGE RETRIEVAL; ITERATIVE METHODS; SEARCH ENGINES; SUPPORT VECTOR MACHINES;

FEED-BACK BASED; IMAGE REPRESENTATIONS; IMAGE SEARCH ENGINE; ONE CLASS-SVM; PROBABILISTICS; PSEUDO-RELEVANCE FEEDBACKS; RELEVANCE FEEDBACK METHOD; RETRIEVED IMAGES; WEB IMAGE RETRIEVAL; WEB IMAGE SEARCH; ONE-CLASS SVMS; PSEUDO RELEVANCE FEEDBACK; SYSTEMATIC EXPERIMENT;

IMAGE REPRESENTATION; IMAGE RETRIEVAL;

EID: 35048812970     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30542-2_27     Document Type: Article

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