-
1
-
-
85161978168
-
Diffrac: A discriminative and flexible framework for clustering
-
F. Bach and Z. Harchaoui. Diffrac: A discriminative and flexible framework for clustering. Tn NIPS, 2007. 2, 3
-
(2007)
Tn NIPS
, vol.2
, pp. 3
-
-
Bach, F.1
Harchaoui, Z.2
-
3
-
-
33845519142
-
Visual categorization with bags of keypoints
-
c. Dance, J. Willamowski, L. Fan, C. Bray, and G. Csurka. Visual categorization with bags of keypoints. In ECCV International Workshop on Statistical Learning in Computer Vision, 2004. 1
-
(2004)
ECCV International Workshop on Statistical Learning in Computer Vision
, vol.1
-
-
Dance, C.1
Willamowski, J.2
Fan, L.3
Bray, C.4
Csurka, G.5
-
4
-
-
84856627356
-
Guide to the CMU multimodal activity (CMU-MMAC) database
-
F. De la Torre, A. Bargeil, X. Martin, and J. Hodgins. Guide to the CMU Multimodal Activity (CMU-MMAC) Database. http://kitchen.cs.cmu.edu/. In Technical report, Robotics Institute, CMU, 2008. 2, 5, 7
-
(2008)
Technical report, Robotics Institute, CMU
, vol.2
, Issue.5
, pp. 7
-
-
De La Torre, F.1
Bargeil, A.2
Martin, X.3
Hodgins, J.4
-
5
-
-
34250765362
-
Discriminative cluster analysis
-
1-248, New York, NY, USA, June ACM Press. 2, 3, 5
-
F. De la Torre and T. Kanade. Discriminative cluster analysis. Tn International Conference on Machine Learning, volume 148, pages 24 1-248, New York, NY, USA, June 2006. ACM Press. 2, 3, 5
-
(2006)
Tn International Conference on Machine Learning
, vol.148
, pp. 24
-
-
De La Torre, F.1
Kanade, T.2
-
6
-
-
14344257496
-
K-means clustering via principal componentanalysis
-
2
-
C. Ding and X. He. K-means clustering via principal componentanalysis. In International Conference on Machine Learning, volume I, pages 225-232, 2004. 2
-
(2004)
International Conference on Machine Learning
, vol.1
, pp. 225-232
-
-
Ding, C.1
He, X.2
-
7
-
-
58349120587
-
Adaptive dimension reduction using discriminantanalysis and k-means clustering
-
C. Ding and T. Li. Adaptive dimension reduction using discriminantanalysis and k-means clustering. Tn International Conference on Machine Learning, 2007. 2, 3, 5
-
(2007)
Tn International Conference on Machine Learning
, vol.2
, Issue.3
, pp. 5
-
-
Ding, C.1
Li, T.2
-
9
-
-
84856680958
-
-
ILOG. IBM ILOG CPLEX optimizer, 20 10
-
ILOG. IBM ILOG CPLEX optimizer, 20 10. http: I I www.ilog.com/products/ cplex/. 5
-
-
-
-
11
-
-
35048840726
-
Clustering with softand group constraints
-
M. H. Law, A. Topchy, and A. K. Jain. Clustering with Softand Group Constraints. Structural, Syntactic, and Statistical Pattern Recognition, pages 662-670, 2004. 2
-
(2004)
Structural Syntactic, and Statistical Pattern Recognition
, vol.2
, pp. 662-670
-
-
Law, M.H.1
Topchy, A.2
Jain, A.K.3
-
12
-
-
0001457509
-
Some methods for classification and analysis of multivariate observations
-
Berkeley, University of California Press., 1-297,. 2
-
J. B. MacQueen. Some methods for classification and analysis of multivariate observations. In 5-th Berkeley Symposium on Mathematical Statistics and Probability. Berkeley, University of California Press., pages 1:28 1-297, 1967. 2
-
(1967)
5-th Berkeley Symposium on Mathematical Statistics and Probability
, vol.28
, pp. 1
-
-
MacQueen, J.B.1
-
13
-
-
70450177757
-
Actions in context
-
5, 6, 7
-
M. Marszalek, T. Laptev, and C. Schmid. Actions in context. In IEEE Conference on Computer Vision & Pattern Recognition, 2009. 2, 5, 6, 7
-
(2009)
IEEE Conference on Computer Vision & Pattern Recognition
, vol.2
-
-
Marszalek, M.1
Laptev, T.2
Schmid, C.3
-
14
-
-
77953182943
-
Activity recognition using the velocity histories of tracked keypoints. Tn Proceedings of the Twelfth
-
R. Messing, C. Pal, and H. Kautz. Activity recognition using the velocity histories of tracked keypoints. Tn Proceedings of the Twelfth IEEE International Conference on Computer Vision, 2009. 2
-
(2009)
IEEE International Conference on Computer Vision
, pp. 2
-
-
Messing, R.1
Pal, C.2
Kautz, H.3
-
15
-
-
35048895925
-
Human detection based on a probabilistic assembly of robust part detectors
-
Springer Berlin,. 1
-
K. Mikolajczyk, C. Schmid, and A. Zisserman. Human detection based on a probabilistic assembly of robust part detectors. In European Conference on Computer Vision, volume 302 1, pages 69-82. Springer Berlin, 2004. 1
-
(2004)
European Conference on Computer Vision
, vol.302
, Issue.1
, pp. 69-82
-
-
Mikolajczyk, K.1
Schmid, C.2
Zisserman, A.3
-
16
-
-
78149353400
-
Modeling temporal structure of decomposable motion segments for activity classification
-
Springer, 10. 2
-
J. C. Niebles, C. Chen, and L. Fei-Fei. Modeling temporal structure of decomposable motion segments for activity classification. In Proceedings of the 11 th European Conference on Computer vision, pages 392-405. Springer, 20 10. 2
-
Proceedings of the 11 th European Conference on Computer vision
, vol.20
, pp. 392-405
-
-
Niebles, J.C.1
Chen, C.2
Fei-Fei, L.3
-
17
-
-
0003408420
-
-
MIT Press, Cambridge, MA, USA
-
B. Scholkopf and A. J. Smola. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond. MIT Press, Cambridge, MA, USA, 200 J. 6
-
(2001)
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond.
, pp. 6
-
-
Scholkopf, B.1
Smola, A.J.2
-
18
-
-
84937544784
-
Adjustment learning and relevant componentanalysis
-
London, UK, Springer. 2
-
N. Shental, T. Hertz, D. Weinshall, and M. Pavel. Adjustment learning and relevant componentanalysis. In Proceedings of the 7th European Conference on Computer VisionPart IV , pages 776-792, London, UK, 2002. Springer. 2
-
(2002)
Proceedings of the 7th European Conference on Computer VisionPart
, vol.4
, pp. 776-792
-
-
Shental, N.1
Hertz, T.2
Weinshall, D.3
Pavel, M.4
-
19
-
-
33745938597
-
Discovering objects and their location in images
-
Vol. I
-
J. Sivic, B. Russell, A. Efros, A. Zisserman, and W. Freeman. Discovering objects and their location in images. Tn 10th 1EEE International Conference on Computer Vision, volume I, pages 370-377 Vol. I, 2005. I
-
(2005)
Tn 10th 1EEE International Conference on Computer Vision
, vol.1
, pp. 370-377
-
-
Sivic, J.1
Russell, B.2
Efros, A.3
Zisserman, A.4
Freeman, W.5
-
24
-
-
0042377235
-
Constrained K-means clustering with background knowledge
-
K. Wagstaff, C. Cardie, S. Rogers, and S. Schroedl. Constrained K-means Clustering with Background Knowledge. Tn Proceedings of 18th International Conference on Machine Learning, pages 577-584, 200 J. 2
-
(2001)
Tn Proceedings of 18th International Conference on Machine Learning
, vol.2
, pp. 577-584
-
-
Wagstaff, K.1
Cardie, C.2
Rogers, S.3
Schroedl, S.4
-
25
-
-
84879571292
-
Distance metric learning, with application to clustering with side-information
-
2
-
E. P. Xing, A. Y. Ng, M. T. Jordan, and S. Russell. Distance metric learning, with application to clustering with side-information. Tn Advances in Neural Information Processing Systems 15, volume IS, pages 505-5 12, 2002. 2
-
(2002)
Tn Advances in Neural Information Processing Systems 15
, vol.15
, pp. 505-512
-
-
Xing, E.P.1
Ng, A.Y.2
Jordan, M.T.3
Russell, S.4
-
27
-
-
0013246766
-
Spectral relaxation for K-means clustering
-
H. Zha, C. Ding, M. Gu, X. He, and H. Simon. Spectral relaxation for K-means clustering. In Neural Information Processing Systems, pages 1057-1064, 200 J. 2
-
(2001)
Neural Information Processing Systems
, Issue.2
, pp. 1057-1064
-
-
Zha, H.1
Ding, C.2
Gu, M.3
He, X.4
Simon, H.5
-
28
-
-
33846580425
-
Local features and kernels for classification of texture and object categories: A comprehensive study
-
June 1
-
J. Zhang, M. Marszalek, S. Lazebnik, and C. Schmid. Local features and kernels for classification of texture and object categories: A comprehensive study. International Journal of Computer Vision, 73:2 13-238, June 2007. 1
-
(2007)
International Journal of Computer Vision
, vol.73
, pp. 213-238
-
-
Zhang, J.1
Marszalek, M.2
Lazebnik, S.3
Schmid, C.4
|