-
1
-
-
37549058056
-
Near-optimal hashing algorithms for approximate nearest neighbor in high dimensions
-
Alexandr Andoni and Piotr Indyk. Near-optimal hashing algorithms for approximate nearest neighbor in high dimensions. In Commun. ACM, volume 51, pages 117-122, 2008.
-
(2008)
Commun. ACM
, vol.51
, pp. 117-122
-
-
Andoni, A.1
Indyk, P.2
-
2
-
-
84877760975
-
-
Leon Bottou. http://leon.bottou.org/projects/sgd.
-
-
-
-
3
-
-
0031620041
-
Min-wise independent permutations (extended abstract)
-
Dallas, TX
-
Andrei Z. Broder, Moses Charikar, Alan M. Frieze, and Michael Mitzenmacher. Min-wise independent permutations (extended abstract). In STOC, pages 327-336, Dallas, TX, 1998.
-
(1998)
STOC
, pp. 327-336
-
-
Broder, A.Z.1
Charikar, M.2
Frieze, A.M.3
Mitzenmacher, M.4
-
4
-
-
0010362121
-
Syntactic clustering of the web
-
Santa Clara, CA
-
Andrei Z. Broder, Steven C. Glassman, Mark S. Manasse, and Geoffrey Zweig. Syntactic clustering of the web. In WWW, pages 1157 - 1166, Santa Clara, CA, 1997.
-
(1997)
WWW
, pp. 1157-1166
-
-
Broder, A.Z.1
Glassman, S.C.2
Manasse, M.S.3
Zweig, G.4
-
5
-
-
84963650728
-
Universal classes of hash functions (extended abstract)
-
J. Lawrence Carter and Mark N. Wegman. Universal classes of hash functions (extended abstract). In STOC, pages 106-112, 1977.
-
(1977)
STOC
, pp. 106-112
-
-
Carter, J.L.1
Wegman, M.N.2
-
6
-
-
14844367057
-
An improved data stream summary: The count-min sketch and its applications
-
Graham Cormode and S. Muthukrishnan. An improved data stream summary: the count-min sketch and its applications. Journal of Algorithm, 55(1):58-75, 2005.
-
(2005)
Journal of Algorithm
, vol.55
, Issue.1
, pp. 58-75
-
-
Cormode, G.1
Muthukrishnan, S.2
-
7
-
-
50949133669
-
Liblinear: A library for large linear classification
-
Rong-En Fan, Kai-Wei Chang, Cho-Jui Hsieh, Xiang-Rui Wang, and Chih-Jen Lin. Liblinear: A library for large linear classification. Journal of Machine Learning Research, 9:1871-1874, 2008.
-
(2008)
Journal of Machine Learning Research
, vol.9
, pp. 1871-1874
-
-
Fan, R.-E.1
Chang, K.-W.2
Hsieh, C.-J.3
Wang, X.-R.4
Lin, C.-J.5
-
8
-
-
84880492977
-
A large-scale study of the evolution of web pages
-
Budapest, Hungary
-
Dennis Fetterly, Mark Manasse, Marc Najork, and Janet L. Wiener. A large-scale study of the evolution of web pages. In WWW, pages 669-678, Budapest, Hungary, 2003.
-
(2003)
WWW
, pp. 669-678
-
-
Fetterly, D.1
Manasse, M.2
Najork, M.3
Wiener, J.L.4
-
10
-
-
0031644241
-
Approximate nearest neighbors: Towards removing the curse of dimensionality
-
Dallas, TX
-
Piotr Indyk and Rajeev Motwani. Approximate nearest neighbors: Towards removing the curse of dimensionality. In STOC, pages 604-613, Dallas, TX, 1998.
-
(1998)
STOC
, pp. 604-613
-
-
Indyk, P.1
Motwani, R.2
-
11
-
-
33749563073
-
Training linear svms in linear time
-
Pittsburgh, PA
-
Thorsten Joachims. Training linear svms in linear time. In KDD, pages 217-226, Pittsburgh, PA, 2006.
-
(2006)
KDD
, pp. 217-226
-
-
Joachims, T.1
-
12
-
-
36949030233
-
α (0 < α ≤ 2) norm
-
San Jose, CA
-
α (0 < α ≤ 2) norm. In KDD, San Jose, CA, 2007.
-
(2007)
KDD
-
-
Li, P.1
-
13
-
-
35748938363
-
Using sketches to estimate associations
-
Vancouver, BC, Canada, (The full paper appeared in Commputational Linguistics in 2007)
-
Ping Li and Kenneth W. Church. Using sketches to estimate associations. In HLT/EMNLP, pages 708-715, Vancouver, BC, Canada, 2005 (The full paper appeared in Commputational Linguistics in 2007).
-
(2005)
HLT/EMNLP
, pp. 708-715
-
-
Li, P.1
Church, K.W.2
-
14
-
-
85162025458
-
One sketch for all: Theory and applications of conditional random sampling
-
Vancouver, BC, Canada, (Preliminary results appeared in NIPS 2006)
-
Ping Li, Kenneth W. Church, and Trevor J. Hastie. One sketch for all: Theory and applications of conditional random sampling. In NIPS, Vancouver, BC, Canada, 2008 (Preliminary results appeared in NIPS 2006).
-
(2008)
NIPS
-
-
Li, P.1
Church, K.W.2
Hastie, T.J.3
-
15
-
-
33749573641
-
Very sparse random projections
-
Philadelphia, PA
-
Ping Li, Trevor J. Hastie, and Kenneth W. Church. Very sparse random projections. In KDD, pages 287-296, Philadelphia, PA, 2006.
-
(2006)
KDD
, pp. 287-296
-
-
Li, P.1
Hastie, T.J.2
Church, K.W.3
-
16
-
-
85162551376
-
Hashing algorithms for large-scale learning
-
Granada, Spain
-
Ping Li, Anshumali Shrivastava, Joshua Moore, and Arnd Christian König. Hashing algorithms for large-scale learning. In NIPS, Granada, Spain, 2011.
-
(2011)
NIPS
-
-
Li, P.1
Shrivastava, A.2
Moore, J.3
König, A.C.4
-
18
-
-
77954568754
-
B-bit minwise hashing
-
Raleigh, NC
-
Ping Li and Arnd Christian König. b-bit minwise hashing. In WWW, pages 671-680, Raleigh, NC, 2010.
-
(2010)
WWW
, pp. 671-680
-
-
Li, P.1
König, A.C.2
-
19
-
-
85162008856
-
B-bit minwise hashing for estimating three-way similarities
-
Vancouver, BC
-
Ping Li, Arnd Christian König, and Wenhao Gui. b-bit minwise hashing for estimating three-way similarities. In NIPS, Vancouver, BC, 2010.
-
(2010)
NIPS
-
-
Li, P.1
König, A.C.2
Gui, W.3
-
20
-
-
34547964973
-
Pegasos: Primal estimated sub-gradient solver for svm
-
Corvalis, Oregon
-
Shai Shalev-Shwartz, Yoram Singer, and Nathan Srebro. Pegasos: Primal estimated sub-gradient solver for svm. In ICML, pages 807-814, Corvalis, Oregon, 2007.
-
(2007)
ICML
, pp. 807-814
-
-
Shalev-Shwartz, S.1
Singer, Y.2
Srebro, N.3
-
21
-
-
73549107233
-
Hash kernels for structured data
-
Qinfeng Shi, James Petterson, Gideon Dror, John Langford, Alex Smola, and S.V.N. Vishwanathan. Hash kernels for structured data. Journal of Machine Learning Research, 10:2615-2637, 2009.
-
(2009)
Journal of Machine Learning Research
, vol.10
, pp. 2615-2637
-
-
Shi, Q.1
Petterson, J.2
Dror, G.3
Langford, J.4
Smola, A.5
Vishwanathan, S.V.N.6
-
22
-
-
84877788187
-
Fast near neighbor search in high-dimensional binary data
-
Anshumali Shrivastava and Ping Li. Fast near neighbor search in high-dimensional binary data. In ECML, 2012.
-
(2012)
ECML
-
-
Shrivastava, A.1
Li, P.2
-
23
-
-
0345414182
-
Video google: A text retrieval approach to object matching in videos
-
Josef Sivic and Andrew Zisserman. Video google: a text retrieval approach to object matching in videos. In ICCV, 2003.
-
(2003)
ICCV
-
-
Sivic, J.1
Zisserman, A.2
-
25
-
-
71149087699
-
Feature hashing for large scale multitask learning
-
Kilian Weinberger, Anirban Dasgupta, John Langford, Alex Smola, and Josh Attenberg. Feature hashing for large scale multitask learning. In ICML, pages 1113-1120, 2009.
-
(2009)
ICML
, pp. 1113-1120
-
-
Weinberger, K.1
Dasgupta, A.2
Langford, J.3
Smola, A.4
Attenberg, J.5
|