Mining environmental texts of images in web pages for image retrieval

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

Volumn 2871, Issue , 2003, Pages 334-338

  Yang, Hsin Chang ^a   Lee, Chung Hong ^b  

^a CHANG JUNG CHRISTIAN UNIVERSITY   (Taiwan)

^b NATIONAL KAOHSIUNG UNIVERSITY OF APPLIED SCIENCES   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

CHARACTER RECOGNITION; CLUSTERING ALGORITHMS; CONFORMAL MAPPING; DATA MINING; IMAGE RETRIEVAL; INTELLIGENT SYSTEMS; SELF ORGANIZING MAPS; SEMANTICS; WEBSITES; ALGORITHMS; ARTIFICIAL INTELLIGENCE;

CLUSTERING RESULTS; DATA MINING PROCESS; IDENTIFICATION PROCESS; IMAGE FEATURES; SELF ORGANIZING MAP ALGORITHM; SEMANTIC GAP; TEXT MINING; TEXT SEGMENTS;

IMAGE PROCESSING; DATA MINING;

TEXT MINING; TEXT SEGMENTS; THEME IDENTIFICATION PROCESSES;

EID: 0142183356     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-39592-8_46     Document Type: Conference Paper

References (2)

1. T. Kohonen. Self-Organizing Maps. Springer-Verlag, Berlin, 1997.
2. H. C. Yang and C. H. Lee. Mining text documents for thematic hierarchies using selforganizing maps. In J. Wang, editor, Data Mining: Opportunities and Challenges, pages 199–219. Idea Group Publishing, Hershey, PA., 2003.