-
3
-
-
0001802606
-
The X-tree: An index structure for high-dimensional data
-
Bombay, India
-
S. Berchtold, D. Keim, and H.P. Kriegel. The X-tree: An index structure for high-dimensional data. In 22nd Conference on Very Large Databases, Bombay, India, pages 28-39, 1996.
-
(1996)
22nd Conference on Very Large Databases
, pp. 28-39
-
-
Berchtold, S.1
Keim, D.2
Kriegel, H.P.3
-
5
-
-
0004561951
-
-
M. Jr
-
M. Brown, W. Grundy, D. Lin, N. Christianini, C. Sug-net, M. Jr, and D. Haussler. Support vector machine classification of microarray gene expression data. 1999.
-
(1999)
Support Vector Machine Classification of Microarray Gene Expression Data
-
-
Brown, M.1
Grundy, W.2
Lin, D.3
Christianini, N.4
Sug-Net, C.5
Haussler, D.6
-
6
-
-
0002615660
-
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
-
7
-
-
0037282477
-
Content-based soft annotation for multimodal image retrieval using bayes point machines
-
E. Chang, K. Goh, G. Sychay, and G. Wu. Content-based soft annotation for multimodal image retrieval using bayes point machines. IEEE Trans. on Circuits and Systems for Video Technology Special Issue on Conceptual and Dynamical Aspects of Multimedia Content Description, 13(1):26-38, 2003.
-
(2003)
IEEE Trans. on Circuits and Systems for Video Technology Special issue on Conceptual and Dynamical Aspects of Multimedia Content Description
, vol.13
, Issue.1
, pp. 26-38
-
-
Chang, E.1
Goh, K.2
Sychay, G.3
Wu, G.4
-
9
-
-
15044355327
-
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
-
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
-
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
-
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
-
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
-
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
-
15
-
-
0036649291
-
Clindex: Approximate similarity queries in high-dimensional spaces
-
July
-
Chen Li, Edward Chang, Hector Garcia-Molina, and Gio Wilderhold. Clindex: Approximate similarity queries in high-dimensional spaces. IEEE Transactions on Knowledge and Data Engineering (TKDE), 14(4), July 2002.
-
(2002)
IEEE Transactions on Knowledge and Data Engineering (TKDE)
, vol.14
, Issue.4
-
-
Li, C.1
Chang, E.2
Hector, G.-M.3
Wilderhold, G.4
-
16
-
-
34249762939
-
The TV-tree: An index structure for high-dimensional data
-
King-Ip Lin, H. V. Jagadish, and Christos Falout-sos. The TV-tree: An index structure for high-dimensional data. VLDB Journal: Very Large Data Bases, 3(4):517-542, 1994.
-
(1994)
VLDB Journal: Very Large Data Bases
, vol.3
, Issue.4
, pp. 517-542
-
-
Lin, K.-I.1
Jagadish, H.V.2
Faloutsos, C.3
-
17
-
-
0034792634
-
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
-
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
-
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
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