A Discussion of Nonlinear Variants of Biased Discriminants for Interactive Image Retrieval

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

Volumn 3115, Issue , 2004, Pages 353-364

  Zhou, Xiang Scan ^a,b,c   Garg, Ashutosh ^a,b,c   Huang, Thomas S ^a,b,c  

^a SIEMENS CORPORATE RESEARCH   (United States)

^b GOOGLE INC   (United States)

^c UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CONTENT BASED RETRIEVAL; FEEDBACK; LEARNING ALGORITHMS; NONLINEAR FEEDBACK;

HETEROGENEOUS IMAGE DATABASE; INTERACTIVE IMAGE RETRIEVAL; KERNEL SELECTION; NON-LINEAR MODEL; NONLINEAR EXTENSION; PARTIAL ALIGNMENT; RELEVANCE FEEDBACK; SMALL SAMPLES;

IMAGE RETRIEVAL;

EID: 33845566516     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-27814-6_43     Document Type: Article

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