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Volumn , Issue , 2009, Pages 557-560

Locally non-negative linear structure learning for interactive image retrieval

Author keywords

Active learning; Interactive image retrieval; Locally non negative linear structure

Indexed keywords

ACTIVE LEARNING; ACTIVE LEARNING METHODS; COMPUTATION COSTS; DATA SETS; IMAGE DATA; INTERACTIVE IMAGE RETRIEVAL; INTRINSIC STRUCTURES; LABELED AND UNLABELED DATA; LEARNING PROBLEM; LINEAR STRUCTURES; NON-NEGATIVITY; SEMI-SUPERVISED LEARNING; SMALL SAMPLES; UPDATING ALGORITHM;

EID: 72449190593     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1631272.1631355     Document Type: Conference Paper
Times cited : (5)

References (10)
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  • 2
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  • 4
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    • J.R. He, et al. Manifold-Ranking Based Image Retrieval. In. Proc. of ACM Multimedia, 2004.
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    • He, J.R.1
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    • Wang, M.1
  • 6
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear dimensionality reduction by locally linear embedding
    • S.t. Roweis and L.K. Saul. Nonlinear dimensionality reduction by locally linear embedding. Science: vol. 290, no. 5500, 2323-2326. 2000.
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    • Roweis, S.T.1    Saul, L.K.2
  • 8
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  • 10
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    • Structure-Sensitive Manifold Ranking for Video Concept Detection
    • J. Tang, et al. Structure-Sensitive Manifold Ranking for Video Concept Detection. In. Proc. of ACM Multimedia, 2007
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    • Tang, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.