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Volumn , Issue , 2010, Pages 1003-1006

Hybrid active learning for cross-domain video concept detection

Author keywords

active learning; cross domain video concept detection

Indexed keywords

ACTIVE LEARNING; CROSS-DOMAIN; DATA DISTRIBUTION; HYBRID METHOD; QUERY STRATEGIES; SEMANTIC CONCEPT DETECTION; TARGET DOMAIN; TRECVID; VIDEO CONCEPT DETECTION;

EID: 78650966391     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1873951.1874135     Document Type: Conference Paper
Times cited : (12)

References (14)
  • 2
    • 68949137209 scopus 로고    scopus 로고
    • Active Learning Literature Survey
    • University of Wisconsin-Madison
    • B. Settles. Active Learning Literature Survey. Computer Sciences Technical Report 1648, University of Wisconsin-Madison, 2009.
    • (2009) Computer Sciences Technical Report 1648
    • Settles, B.1
  • 10
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern recognition
    • C.J.C.Burges. A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery, 1998.
    • (1998) Data Mining and Knowledge Discovery
    • Burges, C.J.C.1
  • 12
    • 0042868698 scopus 로고    scopus 로고
    • Support vector machine active learning with applications to text classification
    • S. Tong, and D Koller. Support vector machine active learning with applications to text classification. Journal of Machine Learning Research, 2002.
    • (2002) Journal of Machine Learning Research
    • Tong, S.1    Koller, D.2
  • 13
    • 33746608527 scopus 로고    scopus 로고
    • A light scale concept ontology for multimedia understanding for TRECVID 2005
    • M. R. Naphade, et al.. A light scale concept ontology for multimedia understanding for TRECVID 2005. IBM Research Technical Report, 2005.
    • (2005) IBM Research Technical Report
    • Naphade, M.R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.