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Volumn , Issue , 1999, Pages 692-697

Using relevance feedback to learn visual concepts from image instances

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE CONTENT; LEARNING PROCESS; RELEVANCE FEEDBACK; TARGET CONCEPT; TRAINING EXAMPLE; USER'S RELEVANCE FEEDBACK; VISUAL CONCEPT; VISUAL ENTITIES;

EID: 84890371838     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIAP.1999.797675     Document Type: Conference Paper
Times cited : (1)

References (7)
  • 2
    • 0027166611 scopus 로고
    • The QBIC project: Querying images by content using color, texture, and shape
    • Feb.
    • W. Niblack, R. Barber et al., "The QBIC project: Querying images by content using color, texture, and shape," in Proc. SPIE Storage and retrieval for image and video Databases, vol. 1908, pp. 173-187, Feb. 1993.
    • (1993) Proc. SPIE Storage and Retrieval for Image and Video Databases , vol.1908 , pp. 173-187
    • Niblack, W.1    Barber, R.2
  • 6
    • 0004082786 scopus 로고    scopus 로고
    • Doctoral Thesis, Dept. of Electrical Engineering and Computer Science, M. I. T., June
    • O. Maron, "Learning from Ambiguity", Doctoral Thesis, Dept. of Electrical Engineering and Computer Science, M. I. T., June 1998.
    • (1998) Learning from Ambiguity
    • Maron, O.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.