메뉴 건너뛰기




Volumn , Issue , 2005, Pages 322-333

Exploiting geometry for support vector machine indexing

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC INDEXING; INDEXING (OF INFORMATION); LARGE DATASET; SUPPORT VECTOR MACHINES;

EID: 84880128104     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1137/1.9781611972757.29     Document Type: Conference Paper
Times cited : (12)

References (20)
  • 6
    • 0002615660 scopus 로고    scopus 로고
    • Geometry and invariance in kernel based methods
    • Alex J. Smola Bernhard Schölkopf, Chris Burges, editor MIT Press Cambridge, MA
    • Christopher J.C. Burges. Geometry and invariance in kernel based methods. In Alex J. Smola Bernhard Schölkopf, Chris Burges, editor, Advances in Kernel Methods. MIT Press Cambridge, MA, 1998.
    • (1998) Advances in Kernel Methods
    • Burges Christopher, J.C.1
  • 9
    • 15044355327 scopus 로고    scopus 로고
    • Similarity search in high dimensions via hashing
    • Aristides Gionis, Piotr Indyk, and Rajeev Motwani. Similarity search in high dimensions via hashing. In The VLDB Journal, pages 518-529, 1999.
    • (1999) The VLDB Journal , pp. 518-529
    • Gionis, A.1    Indyk, P.2    Motwani, R.3
  • 10
    • 34547224349 scopus 로고    scopus 로고
    • Fast approximate similarity search in extremely high-dimensional d ata sets
    • Michael E. Houle and Jun Sakuma. Fast approximate similarity search in extremely high-dimensional d ata sets. In ICDE, 2004.
    • (2004) ICDE
    • Houle, M.E.1    Sakuma, J.2
  • 11
    • 84957069814 scopus 로고    scopus 로고
    • Text categorization with support vector machines: Learning with many relevant features
    • Claire Ńedellec and Ćeline Rouveirol, editors number 1398 Chemnitz, DE Springer Verlag
    • Thorsten Joachims. Text categorization with support vector machines: learning with many relevant features. In Claire Ńedellec and Ćeline Rouveirol, editors, Proceedings of ECML-98, 10th European Conference on Machine Learning, number 1398, pages 137-142, Chemnitz, DE, 1998. Springer Verlag.
    • (1998) Proceedings of ECML-98, 10th European Conference on Machine Learning , pp. 137-142
    • Joachims, T.1
  • 12
    • 0031162081 scopus 로고    scopus 로고
    • The SR-tree: An index structure for high-dimensional nearest neighbor queries
    • Norio Katayama and Shin'ichi Satoh. The SR-tree: an index structure for high-dimensional nearest neighbor queries. In ACM SIGMOD Int. Conf. on Management of Data, pages 369-380, 1997.
    • (1997) ACM SIGMOD Int. Conf. on Management of Data , pp. 369-380
    • Katayama, N.1    Satoh, S.2
  • 13
    • 34547231883 scopus 로고    scopus 로고
    • Tutorial on high-dimensional index structures: Database support for next decades applications
    • D. A. Keim. Tutorial on high-dimensional index structures: Database support for next decades applications. In Proceedings of the ICDE, 2000.
    • (2000) Proceedings of the ICDE
    • Keim, D.A.1
  • 14
    • 33646407158 scopus 로고    scopus 로고
    • Dimension reduction in text classification using support vector machines
    • to appear
    • Hyunsoo Kim, Peg Howland, and Haesun Park. Dimension reduction in text classification using support vector machines. Journal of Machine Learning Research, to appear.
    • Journal of Machine Learning Research
    • Kim, H.1    Howland, P.2    Park, H.3
  • 17
    • 0034792634 scopus 로고    scopus 로고
    • Support vector machine active learning for image retrieval
    • Simon Tong and Edward Chang. Support vector machine active learning for image retrieval. ACM International Conference on Multimedia, pages 107-118, 2001.
    • (2001) ACM International Conference on Multimedia , pp. 107-118
    • Tong, S.1    Chang, E.2
  • 18
    • 0003007938 scopus 로고    scopus 로고
    • Support vector machine active learning with applications to text classification
    • Pat Langley, editor Stanford, US Morgan Kaufmann Publishers, San Francisco, US
    • Simon Tong and Daphne Koller. Support vector machine active learning with applications to text classification. In Pat Langley, editor, Proceedings of ICML-00, 17th International Conference on Machine Learning, pages 999-1006, Stanford, US, 2000. Morgan Kaufmann Publishers, San Francisco, US.
    • (2000) Proceedings of ICML-00, 17th International Conference on Machine Learning , pp. 999-1006
    • Tong, S.1    Koller, D.2
  • 20
    • 0000681228 scopus 로고    scopus 로고
    • A quantitative analysis and performance study for similarity-search methods in high-dimensional spaces
    • VLDB 24-27
    • Roger Weber, Hans-Jörg Schek, and Stephen Blott. A quantitative analysis and performance study for similarity-search methods in high-dimensional spaces. In Proc. 24th Int. Conf. Very Large Data Bases, VLDB, pages 194-205, 24-27 1998.
    • (1998) Proc. 24th Int. Conf. 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.