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Volumn 31, Issue 3, 2006, Pages 249-267

Active learning in very large databases

Author keywords

Active learning; Image retrieval; Relevance feedback; Support vector machines

Indexed keywords

DATABASE SYSTEMS; IMAGE RETRIEVAL; PROBLEM SOLVING; QUERY LANGUAGES; SEMANTICS;

EID: 33751112980     PISSN: 13807501     EISSN: 15737721     Source Type: Journal    
DOI: 10.1007/s11042-006-0043-1     Document Type: Conference Paper
Times cited : (30)

References (14)
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    • Incorporating diversity in active learning with support vector machines
    • Washington, District of Columbia
    • Brinker K (2003) Incorporating diversity in active learning with support vector machines. In: Prooceedings of the twentieth international conference on machine learning, Washington, District of Columbia, 59-66
    • (2003) Prooceedings of the Twentieth International Conference on Machine Learning , pp. 59-66
    • Brinker, K.1
  • 3
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    • CBSA: Content-based soft annotation for multimodal image retrieval using Bayes point machines
    • (Special issue on conceptual and dynamic aspects of multimedia content description)
    • Chang E, Goh K, Sychay G, Wu G (2003a) CBSA: content-based soft annotation for multimodal image retrieval using Bayes point machines. IEEE Trans Circuits Syst Video Technol 13(1):26-38 (Special issue on conceptual and dynamic aspects of multimedia content description)
    • (2003) IEEE Trans Circuits Syst Video Technol , vol.13 , Issue.1 , pp. 26-38
    • Chang, E.1    Goh, K.2    Sychay, G.3    Wu, G.4
  • 4
    • 2442512048 scopus 로고    scopus 로고
    • MEGA - The maximizing expected generalization algorithm for learning complex query concepts
    • Chang E, Li B (2003) MEGA - the maximizing expected generalization algorithm for learning complex query concepts. ACM Trans Inf Sys 21(4):347-382
    • (2003) ACM Trans Inf Sys , vol.21 , Issue.4 , pp. 347-382
    • Chang, E.1    Li, B.2
  • 5
    • 0344271699 scopus 로고    scopus 로고
    • Statistical learning for effective visual information retrieval
    • Barcelona, Spain
    • Chang E, Li B, Wu G, Goh K-S (2003b) Statistical learning for effective visual information retrieval. In: IEEE Conference in Image Processing, Barcelona, Spain, 606-612
    • (2003) IEEE Conference in Image Processing , pp. 606-612
    • Chang, E.1    Li, B.2    Wu, G.3    Goh, K.-S.4
  • 7
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    • Concept-dependent multimodal active learning for image retrieval
    • New York, New York
    • Goh K, Chang EY, Lai W-C (2004) Concept-dependent multimodal active learning for image retrieval. In: ACM international conference on multimedia, New York, New York, 564-571
    • (2004) ACM International Conference on Multimedia , pp. 564-571
    • Goh, K.1    Chang, E.Y.2    Lai, W.-C.3
  • 8
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    • Discovery of a perceptual distance function for measuring image similarity
    • Special issue on content-based image retrieval
    • Li B, Chang, E (2003) Discovery of a perceptual distance function for measuring image similarity. ACM Multimedia J. 8(6):512-522 (Special issue on content-based image retrieval)
    • (2003) ACM Multimedia J. , vol.8 , Issue.6 , pp. 512-522
    • Li, B.1    Chang, E.2
  • 9
    • 0036649291 scopus 로고    scopus 로고
    • Clustering for approximate similarity queries in high-dimensional spaces
    • Li C, Chang E, Garcia-Molina H, Wiederhold G (2002) Clustering for approximate similarity queries in high-dimensional spaces. IEEE Trans Knowl Data Eng 14(4):792-808
    • (2002) IEEE Trans Knowl Data Eng , vol.14 , Issue.4 , pp. 792-808
    • Li, C.1    Chang, E.2    Garcia-Molina, H.3    Wiederhold, G.4
  • 10
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    • Exploiting geometry for support vector machine indexing
    • Newport Beach, California
    • Panda N, Chang E (2005) Exploiting geometry for support vector machine indexing. In: SIAM conference on data mining, Newport Beach, California
    • (2005) SIAM Conference on Data Mining
    • Panda, N.1    Chang, E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.