-
1
-
-
35248893285
-
Graph clustering
-
E. Schaeffer, "Graph clustering," Comput. Sci. Rev., vol. 1, no. 1, pp. 27-64, 2007.
-
(2007)
Comput. Sci. Rev.
, vol.1
, Issue.1
, pp. 27-64
-
-
Schaeffer, E.1
-
2
-
-
77749234019
-
Multi-dimensional edge inference
-
N. Eagle, A. Clauset, A. Pentland, and D. Lazer, "Multi-dimensional edge inference," Proc. Nat. Acad. Sci., vol. 107, no. 9 E31, 2010.
-
Proc. Nat. Acad. Sci.
, vol.107
, Issue.9 E31
, pp. 2010
-
-
Eagle, N.1
Clauset, A.2
Pentland, A.3
Lazer, D.4
-
3
-
-
33645311516
-
Reality mining: Sensing complex social systems
-
N. Eagle and A. Pentland, "Reality mining: Sensing complex social systems," Pers. Ubiqu. Comput., vol. 10, no. 4, pp. 255-268, 2006.
-
(2006)
Pers. Ubiqu. Comput.
, vol.10
, Issue.4
, pp. 255-268
-
-
Eagle, N.1
Pentland, A.2
-
4
-
-
0034244751
-
Normalized cuts and image segmentation
-
J. Shi and J. Malik, "Normalized cuts and image segmentation," IEEE Trans. Pattern Anal. Mach. Intell., vol. 22, no. 8, pp. 888-905, 2000.
-
(2000)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.22
, Issue.8
, pp. 888-905
-
-
Shi, J.1
Malik, J.2
-
5
-
-
84867512404
-
Co-regularized spectral clustering with multiple kernels
-
Whistler, BC, Canada, Dec. 11
-
A. Kumar, P. Rai, and H. Daumé, III, "Co-regularized spectral clustering with multiple kernels," in Proc. NIPS 2010 Workshop New Directions in Multiple Kernel Learn., Whistler, BC, Canada, Dec. 11, 2010.
-
(2010)
Proc. NIPS 2010 Workshop New Directions in Multiple Kernel Learn.
-
-
Kumar, A.1
Rai, P.2
Daumé Iii., H.3
-
6
-
-
70349313631
-
Inferring social network structure using mobile phone data
-
N. Eagle,A. Pentland, and D. Lazer, "Inferring social network structure using mobile phone data," Proc. Nat. Acad. Sci., vol. 106, no. 36, pp. 15274-15278, 2009.
-
(2009)
Proc. Nat. Acad. Sci.
, vol.106
, Issue.36
, pp. 15274-15278
-
-
Eagle, N.1
Pentland, A.2
Lazer, D.3
-
7
-
-
34548583274
-
A tutorial on spectral clustering
-
U. von Luxburg, "A tutorial on spectral clustering," Statist. Comput., vol. 17, no. 4, pp. 395-416, 2007.
-
(2007)
Statist. Comput.
, vol.17
, Issue.4
, pp. 395-416
-
-
Von Luxburg, U.1
-
8
-
-
0001457509
-
Some methods for classification and analysis of multivariate observations
-
J. B. MacQueen, "Some methods for classification and analysis of multivariate observations," in Proc. 5th Berkeley Symp. Math. Statist. Probabil., 1967, vol. 1, pp. 281-297.
-
(1967)
Proc. 5th Berkeley Symp. Math. Statist. Probabil.
, vol.1
, pp. 281-297
-
-
MacQueen, J.B.1
-
9
-
-
0006217743
-
Random walks on graphs: A survey
-
János Bolyai Math. Soc., Budapest
-
L. Lovász, "Random walks on graphs: A survey," Combinatorics, Paul Erdös is Eighty, vol. 2, pp. 353-398, 1996, János Bolyai Math. Soc., Budapest.
-
(1996)
Combinatorics, Paul Erdös Is Eighty
, vol.2
, pp. 353-398
-
-
Lovász, L.1
-
13
-
-
77951203344
-
Clustering with multiple graphs
-
Miami, FL, Dec. 6-9
-
W. Tang, Z. Lu, and I. Dhillon, "Clustering with multiple graphs," in Proc. IEEE Int. Conf. Data Mining, Miami, FL, Dec. 6-9, 2009, pp. 1016-1021.
-
(2009)
Proc. IEEE Int. Conf. Data Mining
, pp. 1016-1021
-
-
Tang, W.1
Lu, Z.2
Dhillon, I.3
-
16
-
-
70349791916
-
Inexact matching of large and sparse graphs using Laplacian eigenvectors
-
Venice, Italy May 26-28
-
D. Knossow, A. Sharma, D. Mateus, and R. P. Horaud, "Inexact matching of large and sparse graphs using Laplacian eigenvectors," in Proc. 7th Int. Workshop on Graph-Based Represent. Pattern Recogn., Venice, Italy, May 26-28, 2009, pp. 144-153.
-
(2009)
Proc. 7th Int. Workshop on Graph-Based Represent. Pattern Recogn.
, pp. 144-153
-
-
Knossow, D.1
Sharma, A.2
Mateus, D.3
Horaud, R.P.4
-
17
-
-
77954232779
-
Mesh segmentation using Laplacian eigenvectors and Gaussian mixtures
-
Arlington, VA Nov.
-
A. Sharma, R. P. Horaud, D. Knossow, and E. von Lavante, "Mesh segmentation using Laplacian eigenvectors and Gaussian mixtures," in Proc. 2009 AAAI Fall Symp. Manifold Learn. Appl., Arlington, VA, Nov. 2009.
-
(2009)
Proc. 2009 AAAI Fall Symp. Manifold Learn. Appl.
-
-
Sharma, A.1
Horaud, R.P.2
Knossow, D.3
Von Lavante, E.4
-
18
-
-
33744794551
-
A regularization framework for learning from graph data
-
Banff, AB, Canada Jul. 8
-
D. Zhou and B. Schölkopf, "A regularization framework for learning from graph data," in Proc. ICML 2004 Workshop on Statist. Relat. Learn. Its Connections to Other Fields, Banff, AB, Canada, Jul. 8, 2004, pp. 132-137.
-
(2004)
Proc. ICML 2004 Workshop on Statist. Relat. Learn. Its Connections to Other Fields
, pp. 132-137
-
-
Zhou, D.1
Schölkopf, B.2
-
19
-
-
84899006908
-
Learning with local and global consistency
-
MIT Press, Cambridge, MA
-
D. Zhou, O. Bousquet, T. N. Lal, J. Weston, and B. Schölkopf, "Learning with local and global consistency," Advances in Neural Information Processing Systems, vol. 16, pp. 321-328, 2004, MIT Press, Cambridge, MA.
-
(2004)
Advances in Neural Information Processing Systems
, vol.16
, pp. 321-328
-
-
Zhou, D.1
Bousquet, O.2
Lal, T.N.3
Weston, J.4
Schölkopf, B.5
-
20
-
-
1942484430
-
Semi-supervised learning using Gaussian fields and harmonic functions
-
Washington DC Aug. 21-24
-
X. Zhu, Z. Ghahramani, and J. Lafferty, "Semi-supervised learning using Gaussian fields and harmonic functions," in Proc. 20th Int. Conf. Mach. Learn. (ICML), Washington DC, Aug. 21-24, 2003, pp. 912-919.
-
(2003)
Proc. 20th Int. Conf. Mach. Learn. (ICML)
, pp. 912-919
-
-
Zhu, X.1
Ghahramani, Z.2
Lafferty, J.3
-
21
-
-
84898942071
-
Measure based regularization
-
MIT Press, Cambridge, MA
-
O. Bousquet, O. Chapelle, and M. Hein, "Measure based regularization," Advances in Neural Information Processing Systems, vol. 16, pp. 1221-1228, 2004, MIT Press, Cambridge, MA.
-
(2004)
Advances in Neural Information Processing Systems
, vol.16
, pp. 1221-1228
-
-
Bousquet, O.1
Chapelle, O.2
Hein, M.3
-
22
-
-
84899013566
-
Ranking on data manifolds
-
MIT Press, Cambridge, MA
-
D. Zhou, J. Weston, A. Gretton, O. Bousquet, and B. Schölkopf, "Ranking on data manifolds," Advances in Neural Information Processing Systems, vol. 16, pp. 169-176, 2004, MIT Press, Cambridge, MA.
-
(2004)
Advances in Neural Information Processing Systems
, vol.16
, pp. 169-176
-
-
Zhou, D.1
Weston, J.2
Gretton, A.3
Bousquet, O.4
Schölkopf, B.5
-
23
-
-
70450168247
-
Spectral Clustering with two views
-
Bonn, Germany Aug. 11
-
V. R. de Sa, "Spectral Clustering with two views," in Proc. ICML 2005 Workshop on Learn. Multiple Views (ICML), Bonn, Germany, Aug. 11, 2005, pp. 20-27.
-
(2005)
Proc. ICML 2005 Workshop on Learn. Multiple Views (ICML)
, pp. 20-27
-
-
De Sa, V.R.1
-
24
-
-
80051984034
-
Towards rich mobile phone datasets: Lausanne data collection campaign
-
Berlin, Germany, Jul.
-
N. Kiukkonen, J. Blom, O. Dousse, D. Gatica-Perez, and J. Laurila, "Towards rich mobile phone datasets: Lausanne data collection campaign," in Proc. ACM Int. Conf. Pervasive Services, Berlin, Germany, Jul. 2010.
-
(2010)
Proc. ACM Int. Conf. Pervasive Services
-
-
Kiukkonen, N.1
Blom, J.2
Dousse, O.3
Gatica-Perez, D.4
Laurila, J.5
-
25
-
-
0037062448
-
Community structure in social and biological networks
-
DOI 10.1073/pnas.122653799
-
M. Girvan and M. E. J. Newman, "Community structure in social and biological networks," Proc. Nat. Acad. Sci., vol. 99, no. 12, pp. 7821-7826, 2002. (Pubitemid 34650963)
-
(2002)
Proceedings of the National Academy of Sciences of the United States of America
, vol.99
, Issue.12
, pp. 7821-7826
-
-
Girvan, M.1
Newman, M.E.J.2
-
26
-
-
37649028224
-
Finding and evaluating community structure in networks
-
M. E. J. Newman and M. Girvan, "Finding and evaluating community structure in networks," Phys. Rev. E, vol. 69, no. 2, 026113, 2004.
-
(2004)
Phys. Rev. e
, vol.69
, Issue.2
, pp. 026113
-
-
Newman, M.E.J.1
Girvan, M.2
-
27
-
-
42749100809
-
Fast algorithm for detecting community structure in networks
-
M. E. J. Newman, "Fast algorithm for detecting community structure in networks," Phys. Rev. E, vol. 69, no. 6, 066133, 2004.
-
(2004)
Phys. Rev. e
, vol.69
, Issue.6
, pp. 066133
-
-
Newman, M.E.J.1
-
28
-
-
84867564158
-
Multi-membership communities detection in mobile networks
-
Sogndal, Norway, May 25-27
-
N. Nefedov, "Multi-membership communities detection in mobile networks," in Proc. Int. Conf. Web Intell., Mining, Semantics, Sogndal, Norway, May 25-27, 2011.
-
(2011)
Proc. Int. Conf. Web Intell., Mining, Semantics
-
-
Nefedov, N.1
-
29
-
-
56349094785
-
Fast unfolding of communities in large networks
-
P10008, p. (12 pp.)
-
V. D. Blondel, J.-L. Guillaume, R. Lambiotte, and E. Lefebvre, "Fast unfolding of communities in large networks," J. Statist. Mechan.: Theory and Exper., vol. 1742-5468, no. P10008, p. (12 pp.), 2008.
-
(2008)
J. Statist. Mechan.: Theory and Exper.
, pp. 1742-5468
-
-
Blondel, V.D.1
Guillaume, J.-L.2
Lambiotte, R.3
Lefebvre, E.4
-
31
-
-
0030502142
-
Deflation techniques for an implicitly re-started arnoldi iteration
-
R. B. Lehoucq and D. C. Sorensen, "Deflation techniques for an implicitly re-started arnoldi iteration," SIAM J. Matrix Anal. Appl., vol. 17, no. 4, pp. 789-821, 1996.
-
(1996)
SIAM J. Matrix Anal. Appl.
, vol.17
, Issue.4
, pp. 789-821
-
-
Lehoucq, R.B.1
Sorensen, D.C.2
-
33
-
-
9444285502
-
Kernels and regularization on graphs
-
Learning Theory and Kernel Machines
-
A. Smola and R. Kondor, "Kernels and regularization on graphs," in Proc. 16th Annu. Conf. Computat. Learn. Theory, Washington, DC, Aug. 24-27, 2003, pp. 144-158. (Pubitemid 37053201)
-
(2003)
Lecture Notes in Computer Science
, Issue.2777
, pp. 144-158
-
-
Smola, A.J.1
Kondor, R.2
-
34
-
-
32844465464
-
Constrained spectral clustering under a local proximity structure
-
Clearwater Beach, FL May 15
-
Q. Xu, M. desJardins, and K. Wagstaff, "Constrained spectral clustering under a local proximity structure," in Proc. 18th Int. FLAIRS Conf., Clearwater Beach, FL, May 15, 2005.
-
(2005)
Proc. 18th Int. FLAIRS Conf.
-
-
Xu, Q.1
Desjardins, M.2
Wagstaff, K.3
-
35
-
-
51949113919
-
Carreira-Perpiñán Constrained spectral clustering through affinity propagation
-
Anchorage, AL, Jun. 24-26
-
Z. Lu and M. Á. Carreira-Perpiñán, "Constrained spectral clustering through affinity propagation," in Proc. 21st IEEE Comput. Soc. Conf. on Vision Patt. Recogn., Anchorage, AL, Jun. 24-26, 2008, pp. 1-8.
-
(2008)
Proc. 21st IEEE Comput. Soc. Conf. on Vision Patt. Recogn.
, pp. 1-8
-
-
Lu, Z.1
Á, M.2
-
37
-
-
77953203541
-
Constrained clustering by spectral kernel learning
-
Kyoto, Japan, Sep. 9-Oct. 2
-
Z. Li and J. Liu, "Constrained clustering by spectral kernel learning," in Proc. 12th IEEE Int. Conf. Comput. Vision (ICCV), Kyoto, Japan, Sep. 9-Oct. 2, 2009, pp. 421-427.
-
(2009)
Proc. 12th IEEE Int. Conf. Comput. Vision (ICCV)
, pp. 421-427
-
-
Li, Z.1
Liu, J.2
-
38
-
-
77956209057
-
Flexible constrained spectral clustering
-
Washington, DC, Jul. 25-28
-
X.Wang and I. Davidson, "Flexible constrained spectral clustering," in Proc. 16th ACM SIGKDD Int. Conf. Knowledge Discovery Data Min., Washington, DC, Jul. 25-28, 2010, pp. 563-572.
-
(2010)
Proc. 16th ACM SIGKDD Int. Conf. Knowledge Discovery Data Min.
, pp. 563-572
-
-
Wang, X.1
Davidson, I.2
-
39
-
-
84864060454
-
Combining graph Laplacians for semi-supervised learning
-
MIT Press, Cambridge, MA
-
A. Argyriou, M. Herbster, and M. Pontil, "Combining graph Laplacians for semi-supervised learning," Advances in Neural Information Processing Systems, vol. 18, pp. 67-74, 2005, MIT Press, Cambridge, MA.
-
(2005)
Advances in Neural Information Processing Systems
, vol.18
, pp. 67-74
-
-
Argyriou, A.1
Herbster, M.2
Pontil, M.3
-
40
-
-
34547970997
-
Spectral clustering and transductive learning with multiple views
-
Corvallis, OR Jun. 20-24
-
D. Zhou and C. Burges, "Spectral clustering and transductive learning with multiple views," in Proc. 24th Int. Conf. Mach. Learn. (ICML), Corvallis, OR, Jun. 20-24, 2007, pp. 1159-1166.
-
(2007)
Proc. 24th Int. Conf. Mach. Learn. (ICML)
, pp. 1159-1166
-
-
Zhou, D.1
Burges, C.2
-
41
-
-
79951744107
-
Edge weight regularization over multiple graphs for similarity learning
-
Sydney, Australia, Dec. 14-17
-
P. Muthukrishnan, D. Radev, and Q. Mei, "Edge weight regularization over multiple graphs for similarity learning," in Proc. 10th IEEE Int. Conf. Data Min., Sydney, Australia, Dec. 14-17, 2010, pp. 374-383.
-
(2010)
Proc. 10th IEEE Int. Conf. Data Min.
, pp. 374-383
-
-
Muthukrishnan, P.1
Radev, D.2
Mei, Q.3
-
42
-
-
70449956037
-
Multiview spectral clustering via ensemble
-
Nanchang, China, Aug. 17-19
-
Y. Cheng and R. Zhao, "Multiview spectral clustering via ensemble," in Proc. 2009 IEEE Int. Conf. Granular Comput., Nanchang, China, Aug. 17-19, 2009, pp. 101-106.
-
(2009)
Proc. 2009 IEEE Int. Conf. Granular Comput.
, pp. 101-106
-
-
Cheng, Y.1
Zhao, R.2
-
43
-
-
79951753036
-
Supervised link prediction using multiple sources
-
Sydney, Australia, Dec. 14-17
-
Z. Lu, B. Savas, W. Tang, and I. S. Dhillon, "Supervised link prediction using multiple sources," in Proc. 10th IEEE Int. Conf. Data Min., Sydney, Australia, Dec. 14-17, 2010, pp. 923-928.
-
(2010)
Proc. 10th IEEE Int. Conf. Data Min.
, pp. 923-928
-
-
Lu, Z.1
Savas, B.2
Tang, W.3
Dhillon, I.S.4
-
44
-
-
78649965057
-
Affiliation recommendation using auxiliary networks
-
Barcelona, Spain, Sep. 26-30
-
V. Vasuki, N. Natarajan, Z. Lu, and I. S. Dhillon, "Affiliation recommendation using auxiliary networks," in Proc. 4th ACM Conf. Recommender Syst. (RecSys), Barcelona, Spain, Sep. 26-30, 2010, pp. 103-110.
-
(2010)
Proc. 4th ACM Conf. Recommender Syst. (RecSys)
, pp. 103-110
-
-
Vasuki, V.1
Natarajan, N.2
Lu, Z.3
Dhillon, I.S.4
|