-
1
-
-
0042014578
-
Discovering cluster in motion time-series data
-
Madison, WI, USA
-
J. Alon, S. Sclaroff, G. Kollios, and V. Pavlovic. Discovering cluster in motion time-series data. In Computer Vision and Pattern Recognition, pages 375-381, Madison, WI, USA, 2003.
-
(2003)
Computer Vision and Pattern Recognition
, pp. 375-381
-
-
Alon, J.1
Sclaroff, S.2
Kollios, G.3
Pavlovic, V.4
-
4
-
-
25444451110
-
An online kernel change detection algorithm
-
F. Desobry, M. Davy, and C. Doncarli. An online kernel change detection algorithm. IEEE Transactions on Signal Processing, 53(8):2961-2974, 2005.
-
(2005)
IEEE Transactions on Signal Processing
, vol.53
, Issue.8
, pp. 2961-2974
-
-
Desobry, F.1
Davy, M.2
Doncarli, C.3
-
5
-
-
33746576905
-
A system for learning statistical motion patterns
-
W. Hu, X. Xiao, Z. Fu, D. Xie, T. Tan, and S. Maybank. A system for learning statistical motion patterns. IEEE Transactions on Pattern Analysis and Machine Intelligence, 28(9): 1450-1464, 2006.
-
(2006)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.28
, Issue.9
, pp. 1450-1464
-
-
Hu, W.1
Xiao, X.2
Fu, Z.3
Xie, D.4
Tan, T.5
Maybank, S.6
-
6
-
-
0034245366
-
Recognition of visual activities and interactions by stochastic parsing
-
Y.A. Ivanov and A.F Bobick. Recognition of visual activities and interactions by stochastic parsing. Pattern Analysis and Machine Intelligence, 22(8):852-872, 2000.
-
(2000)
Pattern Analysis and Machine Intelligence
, vol.22
, Issue.8
, pp. 852-872
-
-
Ivanov, Y.A.1
Bobick, A.F.2
-
7
-
-
0030216085
-
Learning the distribution of object trajectories for event recognition
-
N. Johnson and D.C. Hogg. Learning the distribution of object trajectories for event recognition. Image and Vision Computing, 14(8):609-615, 1996.
-
(1996)
Image and Vision Computing
, vol.14
, Issue.8
, pp. 609-615
-
-
Johnson, N.1
Hogg, D.C.2
-
8
-
-
33745777639
-
Incremental support vector learning: Analysis, implementation and applications
-
P. Laskov, C. Gehl, S. Krüger, and K.R. Müller. Incremental support vector learning: analysis, implementation and applications. Journal of Machine Learning Research, 7:1909-1936, 2006.
-
(2006)
Journal of Machine Learning Research
, vol.7
, pp. 1909-1936
-
-
Laskov, P.1
Gehl, C.2
Krüger, S.3
Müller, K.R.4
-
9
-
-
24044470614
-
Clustering of time series data - a survey
-
T. W. Liao. Clustering of time series data - a survey. Pattern Recognition, 38(11): 1857-1874, 2005.
-
(2005)
Pattern Recognition
, vol.38
, Issue.11
, pp. 1857-1874
-
-
Liao, T.W.1
-
10
-
-
35048834810
-
-
J. Lin, M. Vlachos, E. Keogh, and D. Gunopulos. Iterative incremental clustering of time series. In 9th International Conference on Extending Database Technology, pages 106-122, Crete, Greece, 2004.
-
J. Lin, M. Vlachos, E. Keogh, and D. Gunopulos. Iterative incremental clustering of time series. In 9th International Conference on Extending Database Technology, pages 106-122, Crete, Greece, 2004.
-
-
-
-
11
-
-
20444410793
-
Learning semantic scene models from observing activity in visual surveillance
-
D. Makris and T.J. Ellis. Learning semantic scene models from observing activity in visual surveillance. IEEE Trans, on Systems, Man, and Cybernetics - Part B: Cybernetics, 35(3):397-408, 2005.
-
(2005)
IEEE Trans, on Systems, Man, and Cybernetics - Part B: Cybernetics
, vol.35
, Issue.3
, pp. 397-408
-
-
Makris, D.1
Ellis, T.J.2
-
12
-
-
0035272287
-
An introduction to kernel-based learning algorithms
-
K.R. Müller, S. Mika, G. Ratsch, K. Tsuda, and B. Schölkopf. An introduction to kernel-based learning algorithms. IEEE Transactions on Neural Networks, 12(2), 2001.
-
(2001)
IEEE Transactions on Neural Networks
, vol.12
, Issue.2
-
-
Müller, K.R.1
Mika, S.2
Ratsch, G.3
Tsuda, K.4
Schölkopf, B.5
-
13
-
-
33748453850
-
On-line trajectory clustering for anomalous events detection
-
C. Piciarelli and G.L. Foresti. On-line trajectory clustering for anomalous events detection. Pattern Recognition Letters, 27:1835-1842, 2006.
-
(2006)
Pattern Recognition Letters
, vol.27
, pp. 1835-1842
-
-
Piciarelli, C.1
Foresti, G.L.2
-
14
-
-
35948995212
-
Trajectory pattern detection by hmm parameter space features and eigenvector clustering
-
Prague, CZ
-
F.M. Porikli. Trajectory pattern detection by hmm parameter space features and eigenvector clustering. In 8th European Conference on Computer Vision, Prague, CZ, 2004.
-
(2004)
8th European Conference on Computer Vision
-
-
Porikli, F.M.1
-
15
-
-
40649091854
-
Clustering Vehicle Trajectories with Hidden Markov Models. Application to Automated Traffic Safety Analysis
-
Vancouver
-
N. Saunier and T. Sayed. Clustering Vehicle Trajectories with Hidden Markov Models. Application to Automated Traffic Safety Analysis. In International Joint Conference on Neural Networks, Vancouver, 2006.
-
(2006)
International Joint Conference on Neural Networks
-
-
Saunier, N.1
Sayed, T.2
-
16
-
-
0038091288
-
Estimating the support of a high-dimensional distribution
-
Microsoft Research, Redmon, WA
-
B. Schölkopf, , J. Platt, J. Shave-Taylor, A. Smola, and R. Williamson. Estimating the support of a high-dimensional distribution. Technical Report TR 87, Microsoft Research, Redmon, WA, 1999.
-
(1999)
Technical Report TR
, vol.87
-
-
Schölkopf, B.1
Platt, J.2
Shave-Taylor, J.3
Smola, A.4
Williamson, R.5
-
17
-
-
17444438778
-
New support vector algorithms
-
B. Schölkopf, A. Smola, R. Williamson, and P. Bartlett. New support vector algorithms. Neural Computation, 12(5): 1207-1245, 2000.
-
(2000)
Neural Computation
, vol.12
, Issue.5
, pp. 1207-1245
-
-
Schölkopf, B.1
Smola, A.2
Williamson, R.3
Bartlett, P.4
-
20
-
-
0010864753
-
Pattern recognition using generalized prortrait method
-
V. Vapnik and A. Lerner. Pattern recognition using generalized prortrait method. Automation adn Remote Control, 24:774-780, 1963.
-
(1963)
Automation adn Remote Control
, vol.24
, pp. 774-780
-
-
Vapnik, V.1
Lerner, A.2
-
21
-
-
84880838819
-
Automatic video interpretation: A novel algorithm for temporal scenario recognition
-
Acapulco, MEX
-
V.T. Vu, F. Brmond, and M. Thonnat. Automatic video interpretation: A novel algorithm for temporal scenario recognition. In 8th International Joint Conference on Artificial Intelligence, pages 9-15, Acapulco, MEX, 2003.
-
(2003)
8th International Joint Conference on Artificial Intelligence
, pp. 9-15
-
-
Vu, V.T.1
Brmond, F.2
Thonnat, M.3
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