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Volumn 21, Issue 1, 2010, Pages 130-152

Learning in parallel universes

Author keywords

Clustering; Descriptor space; Parallel universes

Indexed keywords

3D OBJECT; APPLICATION SCENARIO; ARTIFICIAL DATA; DESCRIPTORS; GLOBAL MODELS; LEARNING STRATEGY; LOCAL MODEL; PARALLEL UNIVERSE; SIMULTANEOUS ANALYSIS;

EID: 77953810791     PISSN: 13845810     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10618-010-0170-1     Document Type: Article
Times cited : (6)

References (22)
  • 1
    • 77953811027 scopus 로고    scopus 로고
    • 3D Benchmark Accessed 20 March 2009
    • 3D Benchmark (2008) Konstanz 3D model search engine. http://merkur01.inf. uni-konstanz.de/CCCC/. Accessed 20 March 2009
    • (2008) Konstanz 3D Model Search Engine
  • 2
    • 0039253822 scopus 로고    scopus 로고
    • Finding generalized projected clusters in high dimensional spaces
    • Chen W, Naughton JF, Bernstein PA (eds) May 16-18, 2000, Dallas, Texas, USA, ACM
    • Aggarwal CC, Yu PS (2000) Finding generalized projected clusters in high dimensional spaces. In: Chen W, Naughton JF, Bernstein PA (eds) Proceedings of the 2000 ACM SIGMOD international conference on management of data, May 16-18, 2000, Dallas, Texas, USA, ACM, pp 70-81
    • (2000) Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data , pp. 70-81
    • Aggarwal, C.C.1    Yu, P.S.2
  • 6
    • 10344230435 scopus 로고    scopus 로고
    • Molecular similarity: A key technique in molecular informatics
    • 10.1039/b409813g
    • A Bender RC Glen 2004 Molecular similarity: a key technique in molecular informatics Org Biomol Chem 2 22 3204 3218 10.1039/b409813g
    • (2004) Org Biomol Chem , vol.2 , Issue.22 , pp. 3204-3218
    • Bender, A.1    Glen, R.C.2
  • 11
    • 33745177790 scopus 로고    scopus 로고
    • Feature-based similarity search in 3D object databases
    • 10.1145/1118890.1118893
    • B Bustos DA Keim D Saupe T Schreck DV Vranić 2005 Feature-based similarity search in 3D object databases ACM Comput Surv (CSUR) 37 4 345 387 10.1145/1118890.1118893
    • (2005) ACM Comput Surv (CSUR) , vol.37 , Issue.4 , pp. 345-387
    • Bustos, B.1    Keim, D.A.2    Saupe, D.3    Schreck, T.4    Vranić, D.V.5
  • 12
    • 33644546694 scopus 로고    scopus 로고
    • An experimental effectiveness comparison of methods for 3D similarity search
    • DOI 10.1007/s00799-005-0122-3
    • B Bustos DA Keim D Saupe T Schreck DV Vranić 2006 An experimental effectiveness comparison of methods for 3D similarity search. Special issue on multimedia contents and management in digital libraries Int J Digit Libr 6 1 39 54 10.1007/s00799-005-0122-3 (Pubitemid 43296644)
    • (2006) International Journal on Digital Libraries , vol.6 , Issue.1 , pp. 39-54
    • Bustos, B.1    Keim, D.2    Saupe, D.3    Schreck, T.4    Vranic, D.5
  • 13
    • 14844283227 scopus 로고    scopus 로고
    • PAC generalization bounds for co-training
    • Dasgupta S, Littman ML, McAllester DA (2001) PAC generalization bounds for co-training. In: NIPS, pp 375-382
    • (2001) NIPS , pp. 375-382
    • Dasgupta, S.1    Littman, M.L.2    McAllester, D.A.3
  • 16
    • 62849117574 scopus 로고    scopus 로고
    • Fuzzy clustering: Insights and a new approach
    • 1105.68414 2139293
    • F Klawonn 2004 Fuzzy clustering: insights and a new approach Mathware Soft Comput 11 125 142 1105.68414 2139293
    • (2004) Mathware Soft Comput , vol.11 , pp. 125-142
    • Klawonn, F.1
  • 17
    • 67149084291 scopus 로고    scopus 로고
    • Clustering high-dimensional data: A survey on subspace clustering, pattern-based clustering, and correlation clustering
    • 10.1145/1497577.1497578
    • HP Kriegel P Kröger A Zimek 2009 Clustering high-dimensional data: a survey on subspace clustering, pattern-based clustering, and correlation clustering ACM Trans Knowl Discov Data (TKDD) 3 1 1 58 10.1145/1497577.1497578
    • (2009) ACM Trans Knowl Discov Data (TKDD) , vol.3 , Issue.1 , pp. 1-58
    • Kriegel, H.P.1    Kröger, P.2    Zimek, A.3
  • 19
    • 0030214781 scopus 로고    scopus 로고
    • The possibilistic c-means algorithm: Insights and recommendations
    • 10.1109/91.531779
    • R Krishnapuram JM Keller 1996 The possibilistic c-means algorithm: insights and recommendations IEEE Trans Fuzzy Syst 4 385 393 10.1109/91.531779
    • (1996) IEEE Trans Fuzzy Syst , vol.4 , pp. 385-393
    • Krishnapuram, R.1    Keller, J.M.2
  • 22
    • 34249941501 scopus 로고    scopus 로고
    • Fuzzy clustering in parallel universes
    • DOI 10.1016/j.ijar.2006.06.020, PII S0888613X06001137, North American Fuzzy Information Processing Society Annual Conference NAFIPS '2005
    • B Wiswedel MR Berthold 2007 Fuzzy clustering in parallel universes Int J Approx Reason 45 3 439 454 1124.68101 10.1016/j.ijar.2006.06.020 (Pubitemid 46880531)
    • (2007) International Journal of Approximate Reasoning , vol.45 , Issue.3 , pp. 439-454
    • Wiswedel, B.1    Berthold, M.R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.