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Volumn , Issue , 2003, Pages 99-107

Dimensionality reduction using magnitude and shape approximations

Author keywords

High Dimensional Data; Shape Approximation; Similarity Search

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; DATA REDUCTION; DATABASE SYSTEMS; DISCRETE FOURIER TRANSFORMS; QUERY LANGUAGES; REDUCTION; VECTORS; WAVELET TRANSFORMS;

EID: 18744370476     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/956880.956883     Document Type: Conference Paper
Times cited : (13)

References (43)
  • 1
    • 0346339935 scopus 로고    scopus 로고
    • Active disks: Programming model, algorithms and evaluation
    • September
    • A. Acharya, M. Uysal, and J. Saltz. Active disks: Programming model, algorithms and evaluation. In ASPLOS-VIII, pages 81-91, September 1998.
    • (1998) ASPLOS-VIII , pp. 81-91
    • Acharya, A.1    Uysal, M.2    Saltz, J.3
  • 8
    • 0038670812 scopus 로고    scopus 로고
    • Searching in high-dimensional spaces: Index structures for improving the performance of multimedia databases
    • D. A. Keim C. Bohm, S. Berchtold. Searching in high-dimensional spaces: Index structures for improving the performance of multimedia databases. ACM Computing Surveys, 33:322-373, 2001.
    • (2001) ACM Computing Surveys , vol.33 , pp. 322-373
    • Keim, D.A.1    Bohm, C.2    Berchtold, S.3
  • 10
    • 0032664793 scopus 로고    scopus 로고
    • The hybrid tree: An index structure for high dimensional feature spaces
    • Sydney, Australia
    • K. Chakrabarti and S. Mehrotra. The hybrid tree: An index structure for high dimensional feature spaces. In Proc. Int. Conf. Data Engineering, pages 440-447, Sydney, Australia, 1999.
    • (1999) Proc. Int. Conf. Data Engineering , pp. 440-447
    • Chakrabarti, K.1    Mehrotra, S.2
  • 12
    • 34447620746 scopus 로고
    • Improving text retrieval for the routing problem using latent semantic indexing
    • D.Hull. Improving text retrieval for the routing problem using latent semantic indexing. In Proc. of the 17th ACM-SIGIR Conference, pages 282-291, 1994.
    • (1994) Proc. of the 17th ACM-SIGIR Conference , pp. 282-291
    • Hull, D.1
  • 16
    • 25944440338 scopus 로고    scopus 로고
    • How to approximate the inner-product:fast dynamic algorithms for euclidean similarity
    • Comp. Sci. Dept., UC, Santa Barbara, December
    • Ö. Eǧecioǧlu. How to approximate the inner-product:fast dynamic algorithms for euclidean similarity. Technical Report TRCS98-37, Comp. Sci. Dept., UC, Santa Barbara, December 1998.
    • (1998) Technical Report , vol.TRCS98-37
    • Eǧecioǧlu, Ö.1
  • 21
    • 0032083561 scopus 로고    scopus 로고
    • Multidimensional access methods
    • V. Gaede and O. Gunther. Multidimensional access methods. ACM Computing Surveys, 30:170-231, 1998.
    • (1998) ACM Computing Surveys , vol.30 , pp. 170-231
    • Gaede, V.1    Gunther, O.2
  • 23
    • 84860932276 scopus 로고    scopus 로고
    • Informix, http://www.ibm.com/software/data/informix/blades/spatial/rtree. html, 2002.
    • (2002)
  • 26
    • 17944378423 scopus 로고    scopus 로고
    • Dimensionality reduction for similarity searching in dynamic databases
    • Seattle, Washington, June
    • K. V. R. Kanth, D. Agrawal, and A. Singh. Dimensionality reduction for similarity searching in dynamic databases. In Proc. ACM SIGMOD Int. Conf. on Management of Data, pages 166-176, Seattle, Washington, June 1998.
    • (1998) Proc. ACM SIGMOD Int. Conf. on Management of Data , pp. 166-176
    • Kanth, K.V.R.1    Agrawal, D.2    Singh, A.3
  • 28
    • 0003097075 scopus 로고
    • Uber lineare methoden in der wahrscheinlich-keitsrechnung
    • H. Karhunen. Uber lineare methoden in der wahrscheinlich-keitsrechnung. Ann. Acad. Science Fenn, 1947.
    • (1947) Ann. Acad. Science Fenn
    • Karhunen, H.1
  • 32
    • 34249762939 scopus 로고
    • The TV-tree: An index structure for high-dimensional data
    • K. Lin, H. V. Jagadish, and C. Faloutsos. The TV-tree: An index structure for high-dimensional data. VLDB Journal, 3:517-542, 1995.
    • (1995) VLDB Journal , vol.3 , pp. 517-542
    • Lin, K.1    Jagadish, H.V.2    Faloutsos, C.3
  • 37
    • 84993661650 scopus 로고    scopus 로고
    • Efficient user-adaptable similarity search in large multimedia databases
    • Athens, Greece
    • T. Seidl and Kriegel H.-P. Efficient user-adaptable similarity search in large multimedia databases. In Proceedings of the Int. Conf. on Very Large Data Bases, pages 506-515, Athens, Greece, 1997.
    • (1997) Proceedings of the Int. Conf. on Very Large Data Bases , pp. 506-515
    • Seidl, T.1    Kriegel, H.-P.2
  • 41
    • 0000681228 scopus 로고    scopus 로고
    • A quantitative analysis and performance study for similarity-search methods in high-dimensional spaces
    • New York City, New York, August
    • R. Weber, H.-J. Schek, and S. Blott. A quantitative analysis and performance study for similarity-search methods in high-dimensional spaces. In Proceedings of the Int. Conf. on Very Large Data Bases, pages 194-205, New York City, New York, August 1998.
    • (1998) Proceedings of the Int. Conf. on Very Large Data Bases , pp. 194-205
    • Weber, R.1    Schek, H.-J.2    Blott, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.