Structured correspondence topic models for mining captioned figures in biological literature

Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Volumn , Issue , 2009, Pages 39-47

  Ahmed, Amr ^a   Xing, Eric P ^a   Cohen, William W ^a   Murphy, Robert F ^a  

^a Carnegie Mellon University   (United States)

Author keywords

Algorithms; Experimentation

Indexed keywords

AUTOMATIC RETRIEVAL; BIO-IMAGING; BIOLOGICAL INFORMATION; COMPETING SYSTEMS; ELSEVIER; EXPERIMENTATION; GENE ONTOLOGY; GIBBS SAMPLING; GRAND CHALLENGE; GRAPHICAL ILLUSTRATIONS; INFERENCE ALGORITHM; IR ENGINES; KNOWLEDGE EXTRACTION; LIFE-SCIENCES; NUMBER OF DATUM; PROTEIN NAMES; SCHOLARLY ARTICLES; SCIENTIFIC CONTENT; SCIENTIFIC JOURNALS; SEMANTIC ENTITY; TOPIC MODEL;

IMAGING TECHNIQUES; INFERENCE ENGINES; INFORMATION SERVICES; ONTOLOGY; SEMICONDUCTOR QUANTUM DOTS;

COMPUTATIONAL EFFICIENCY;

EID: 70350641870     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1557019.1557031     Document Type: Conference Paper

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