-
1
-
-
57749189543
-
An efficient algorithm for 2D Euclidean 2-center with outliers
-
P. Agarwal and J. Phillips. An efficient algorithm for 2D Euclidean 2-center with outliers. Algorithms-ESA 2008, pages 64-75, 2008.
-
(2008)
Algorithms-ESA 2008
, pp. 64-75
-
-
Agarwal, P.1
Phillips, J.2
-
2
-
-
84938094901
-
Approximation algorithms for k-line center
-
Proc. 10th Ann. European Symp. on Algorithms (ESA), Springer
-
P. K. Agarwal, C. M. Procopiuc, and K. R. Varadarajan. Approximation algorithms for k-line center. In Proc. 10th Ann. European Symp. on Algorithms (ESA), volume 2461 of Lecture Notes in Computer Science, pages 54-63. Springer, 2002.
-
(2002)
Lecture Notes in Computer Science
, vol.2461
, pp. 54-63
-
-
Agarwal, P.K.1
Procopiuc, C.M.2
Varadarajan, K.R.3
-
3
-
-
0031176507
-
Scale-sensitive dimensions, uniform convergence, and learnability
-
N. Alon, S. Ben-David, N. Cesa-Bianchi, and D. Haussler. Scale-sensitive dimensions, uniform convergence, and learnability. J. ACM, 44(4):615-631, July 1997. (Pubitemid 127617707)
-
(1997)
Journal of the ACM
, vol.44
, Issue.4
, pp. 615-631
-
-
Alon, N.1
Ben-David, S.2
Cesa-Bianchi, N.3
Haussler, D.4
-
4
-
-
0038046968
-
On Two Segmentation Problems
-
N. Alon and B. Sudakov. On two segmentation problems. J. of Algorithms, 33:173-184, 1999. (Pubitemid 129608049)
-
(1999)
Journal of Algorithms
, vol.33
, Issue.1
, pp. 173-184
-
-
Alon, N.1
Sudakov, B.2
-
5
-
-
84860151889
-
-
Technical report, Rochester Institute of Technology
-
V. Angadi and S. Patel. Hough transformation. Technical report, Rochester Institute of Technology, 2010.
-
(2010)
Hough Transformation
-
-
Angadi, V.1
Patel, S.2
-
6
-
-
3142776554
-
Local search heuristics for k-median and facility location problems
-
V. Arya, N. Garg, R. Khandekar, A. Meyerson, K. Munagala, and V. Pandit. Local search heuristics for k-median and facility location problems. SIAM Journal on Computing, 33(3):544-562, 2004.
-
(2004)
SIAM Journal on Computing
, vol.33
, Issue.3
, pp. 544-562
-
-
Arya, V.1
Garg, N.2
Khandekar, R.3
Meyerson, A.4
Munagala, K.5
Pandit, V.6
-
7
-
-
0032046897
-
Prediction, learning, uniform convergence, and scale-sensitive dimensions
-
P. L. Bartlett and P. M. Long. Prediction, learning, uniform convergence, and scale-sensitive dimensions. J. Comput. System Sci., 56:174-190, 1998.
-
(1998)
J. Comput. System Sci.
, vol.56
, pp. 174-190
-
-
Bartlett, P.L.1
Long, P.M.2
-
9
-
-
0029252255
-
Characterizations of learnability for classes of {0,..., n}-valued functions
-
S. Ben-David, N. Cesa-Bianchi, D. Haussler, and P. M. Long. Characterizations of learnability for classes of {0, . . ., n}-valued functions. J. of Comput. Syst. Sci., 50(1):74-86, 1995.
-
(1995)
J. of Comput. Syst. Sci.
, vol.50
, Issue.1
, pp. 74-86
-
-
Ben-David, S.1
Cesa-Bianchi, N.2
Haussler, D.3
Long, P.M.4
-
11
-
-
0027911186
-
Note on the prize collecting traveling salesman problem
-
D. Bienstock, M. X. Goemans, D. Simchi-Levi, and D. P. Williamson. A note on the prize collecting traveling salesman problem. Math. Program, 59:413-420, 1993. (Pubitemid 23698090)
-
(1993)
Mathematical Programming, Series A
, vol.59
, Issue.3
, pp. 413-420
-
-
Bienstock, D.1
Goemans, M.X.2
Simchi-Levi, D.3
Williamson, D.4
-
12
-
-
0024750852
-
Learnability and the Vapnik-Chervonenkis dimension
-
DOI 10.1145/76359.76371
-
A. Blumer, A. Ehrenfeucht, D. Haussler, and M. K. Warmuth. Learnability and the Vapnik-Chervonenkis dimension. J. ACM, 36(4):929-965, October 1989. (Pubitemid 20613338)
-
(1989)
Journal of the ACM
, vol.36
, Issue.4
, pp. 929-965
-
-
Blumer, A.1
Ehrenfeucht, A.2
Haussler, D.3
Warmuth, M.K.4
-
13
-
-
26944440987
-
Algorithms for facility location problems with outliers
-
Philadelphia, PA, USA, Society for Industrial and Applied Mathematics
-
M. Charikar, S. Khuller, D. M. Mount, and G. Narasimhan. Algorithms for facility location problems with outliers. In Proceedings of the twelfth annual ACM-SIAM symposium on Discrete algorithms, SODA '01, pages 642-651, Philadelphia, PA, USA, 2001. Society for Industrial and Applied Mathematics.
-
(2001)
Proceedings of the Twelfth Annual ACM-SIAM Symposium on Discrete Algorithms, SODA '01
, pp. 642-651
-
-
Charikar, M.1
Khuller, S.2
Mount, D.M.3
Narasimhan, G.4
-
14
-
-
51849153520
-
A constant factor approximation algorithm for k -median clustering with outliers
-
Shang-Hua Teng, editor, SIAM
-
K. Chen. A constant factor approximation algorithm for k -median clustering with outliers. In Shang-Hua Teng, editor, Proceedings of the Nineteenth Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2008, San Francisco, California, USA, January 20-22, 2008, pages 826-835. SIAM, 2008.
-
(2008)
Proceedings of the Nineteenth Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2008, San Francisco, California, USA, January 20-22, 2008
, pp. 826-835
-
-
Chen, K.1
-
17
-
-
3142750484
-
Clustering large graphs via the singular value decomposition
-
P. Drineas, A. Frieze, R. Kannan, S. Vempala, and V. Vinay. Clustering large graphs via the singular value decomposition. In Machine Learning, volume 56, pages 9-33, 2004.
-
(2004)
Machine Learning
, vol.56
, pp. 9-33
-
-
Drineas, P.1
Frieze, A.2
Kannan, R.3
Vempala, S.4
Vinay, V.5
-
19
-
-
84898929089
-
Optimal algorithms for approximate clustering
-
New York, NY, USA, ACM
-
T. Feder and D. Greene. Optimal algorithms for approximate clustering. In Proceedings of the twentieth annual ACM symposium on Theory of computing, STOC '88, pages 434-444, New York, NY, USA, 1988. ACM.
-
(1988)
Proceedings of the Twentieth Annual ACM Symposium on Theory of Computing, STOC '88
, pp. 434-444
-
-
Feder, T.1
Greene, D.2
-
21
-
-
79959744443
-
A unified framework for approximating and clustering data
-
L. Fortnow and S. P. Vadhan, editors, ACM, Full version at arXiv:1106.1379; theorem citations follow the full version
-
D. Feldman and M. Langberg. A unified framework for approximating and clustering data. In L. Fortnow and S. P. Vadhan, editors, STOC, pages 569-578. ACM, 2011. Full version at arXiv:1106.1379; theorem citations follow the full version.
-
(2011)
STOC
, pp. 569-578
-
-
Feldman, D.1
Langberg, M.2
-
24
-
-
0029289832
-
A general approximation technique for constrained forest problems
-
M. X. Goemans and D. P. Williamson. A general approximation technique for constrained forest problems. SIAM Journal on Computing, 24(2):296-317, 1995.
-
(1995)
SIAM Journal on Computing
, vol.24
, Issue.2
, pp. 296-317
-
-
Goemans, M.X.1
Williamson, D.P.2
-
25
-
-
77957754305
-
A smoothing principle for the Huber and other location M-estimators
-
F. Hampel, C. Hennig, and E. Ronchetti. A smoothing principle for the Huber and other location M-estimators. Computational Statistics & Data Analysis, 55(1):324-337, 2011.
-
(2011)
Computational Statistics & Data Analysis
, vol.55
, Issue.1
, pp. 324-337
-
-
Hampel, F.1
Hennig, C.2
Ronchetti, E.3
-
26
-
-
35048833881
-
No coreset, no cry
-
Proc. 24th Int. Conf. Foundations of Software Technology and Theoretical Computer Science (FSTTCS), Springer
-
S. Har-Peled. No coreset, no cry. In Proc. 24th Int. Conf. Foundations of Software Technology and Theoretical Computer Science (FSTTCS), volume 3328 of Lecture Notes in Computer Science, pages 324-335. Springer, 2004.
-
(2004)
Lecture Notes in Computer Science
, vol.3328
, pp. 324-335
-
-
Har-Peled, S.1
-
27
-
-
84871957086
-
Coresets for discrete integration and clustering
-
Proc. 26th Int. Conf. Foundations of Software Technology and Theoretical Computer Science (FSTTCS), Springer
-
S. Har-Peled. Coresets for discrete integration and clustering. In Proc. 26th Int. Conf. Foundations of Software Technology and Theoretical Computer Science (FSTTCS), volume 4337 of Lecture Notes in Computer Science, pages 33-44. Springer, 2006.
-
(2006)
Lecture Notes in Computer Science
, vol.4337
, pp. 33-44
-
-
Har-Peled, S.1
-
29
-
-
34547131280
-
A robust measure of correlation between two genes on a microarray
-
J. Hardin, A. Mitani, L. Hicks, and B. VanKoten. A robust measure of correlation between two genes on a microarray. BMC bioinformatics, 8(1):220, 2007.
-
(2007)
BMC Bioinformatics
, vol.8
, Issue.1
, pp. 220
-
-
Hardin, J.1
Mitani, A.2
Hicks, L.3
VanKoten, B.4
-
30
-
-
15744365331
-
Epsilon-nets and simplex range queries
-
D. Haussler and E. Welzl. Epsilon-nets and simplex range queries. Discrete Comput. Geom., 2:127-151, 1987.
-
(1987)
Discrete Comput. Geom.
, vol.2
, pp. 127-151
-
-
Haussler, D.1
Welzl, E.2
-
33
-
-
0028460231
-
Efficient distribution-free learning of probabilistic concepts
-
M. J. Kearns and R. E. Schapire. Efficient distribution-free learning of probabilistic concepts. J. Comput. System Sci., 48:464-497, 1994.
-
(1994)
J. Comput. System Sci.
, vol.48
, pp. 464-497
-
-
Kearns, M.J.1
Schapire, R.E.2
-
35
-
-
77951686690
-
Universal epsilon-approximators for integrals
-
M. Charikar, editor, SIAM
-
M. Langberg and L. J. Schulman. Universal epsilon-approximators for integrals. In M. Charikar, editor, SODA, pages 598-607. SIAM, 2010.
-
(2010)
SODA
, pp. 598-607
-
-
Langberg, M.1
Schulman, L.J.2
-
37
-
-
67650468452
-
The planar k-means problem is NP-hard
-
S. Das and R. Uehara, editors, Proc. WALCOM, Springer-Verlag
-
M. Mahajan, P. Nimbhorkar, and K. Varadarajan. The planar k-means problem is NP-hard. In S. Das and R. Uehara, editors, Proc. WALCOM, LNCS 5431, pages 274-285. Springer-Verlag, 2009.
-
(2009)
LNCS
, vol.5431
, pp. 274-285
-
-
Mahajan, M.1
Nimbhorkar, P.2
Varadarajan, K.3
-
38
-
-
0029293361
-
Approximations and optimal geometric divide-and-conquer
-
J. Matoušek. Approximations and optimal geometric divide-and-conquer. J. Comput. Syst. Sci, 50(2):203-208, 1995.
-
(1995)
J. Comput. Syst. Sci
, vol.50
, Issue.2
, pp. 203-208
-
-
Matoušek, J.1
-
39
-
-
0034417244
-
On approximate geometric k-clustering
-
J. Matoušek. On approximate geometric k-clustering. Discrete & Computational Geometry, 24(1):61-84, 2000.
-
(2000)
Discrete & Computational Geometry
, vol.24
, Issue.1
, pp. 61-84
-
-
Matoušek, J.1
-
40
-
-
0000378526
-
On learning sets and functions
-
B. K. Natarajan. On learning sets and functions. Machine Learning, 4:67-97, 1989.
-
(1989)
Machine Learning
, vol.4
, pp. 67-97
-
-
Natarajan, B.K.1
-
45
-
-
0001703864
-
On the density of families of sets
-
N. Sauer. On the density of families of sets. J. Comb. Theory, Ser. A, 13(1):145-147, 1972.
-
(1972)
J. Comb. Theory, Ser. A
, vol.13
, Issue.1
, pp. 145-147
-
-
Sauer, N.1
-
46
-
-
0033723962
-
Clustering for edge-cost minimization
-
L. J. Schulman. Clustering for edge-cost minimization. In Proc. 32nd STOC, pages 547-555, 2000.
-
(2000)
Proc. 32nd STOC
, pp. 547-555
-
-
Schulman, L.J.1
-
47
-
-
84972576948
-
A combinatorial problem, stability and order for models and theories in infinitary languages
-
S. Shelah. A combinatorial problem, stability and order for models and theories in infinitary languages. Pacific J. Math., 41:247-261, 1972.
-
(1972)
Pacific J. Math.
, vol.41
, pp. 247-261
-
-
Shelah, S.1
-
49
-
-
0001024505
-
On the uniform convergence of relative frequencies of events to their probabilities
-
V. N. Vapnik and A. Y. Chervonenkis. On the uniform convergence of relative frequencies of events to their probabilities. Theory of Probability and its Applications, 16(2):264-280, 1971.
-
(1971)
Theory of Probability and Its Applications
, vol.16
, Issue.2
, pp. 264-280
-
-
Vapnik, V.N.1
Chervonenkis, A.Y.2
-
50
-
-
84857296441
-
-
Online; accessed July 2011
-
Z. Zhang. M-estimators. http://research.microsoft.com/en-us/um/people/ zhang/INRIA/Publis/Tutorial-Estim/node20.html. [Online; accessed July 2011].
-
M-estimators
-
-
Zhang, Z.1
|