-
3
-
-
0035680898
-
Recognition of human gaits
-
A. Bissacco, A. Chiuso, Y. Ma, and S. Soatto. Recognition of human gaits. In IEEE Conference on Computer Vision and Pattern Recognition, volume 2, pages 52-58, 2001.
-
(2001)
IEEE Conference on Computer Vision and Pattern Recognition
, vol.2
, pp. 52-58
-
-
Bissacco, A.1
Chiuso, A.2
Ma, Y.3
Soatto, S.4
-
4
-
-
34548735999
-
Classification and recognition of dynamical models: The role of phase, independent components, kernels and optimal transport
-
A. Bissacco, A. Chiuso, and S. Soatto. Classification and recognition of dynamical models: The role of phase, independent components, kernels and optimal transport. IEEE Transactions on Pattern Analysis and Machine Intelligence, 29(11):1958-1972, 2006.
-
(2006)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.29
, Issue.11
, pp. 1958-1972
-
-
Bissacco, A.1
Chiuso, A.2
Soatto., S.3
-
5
-
-
0036604863
-
On measuring the distance between histograms
-
June
-
S.-H. Cha and S. N. Srihari. On measuring the distance between histograms. Pattern Recognition, 35(6):1355-1370, June 2002.
-
(2002)
Pattern Recognition
, vol.35
, Issue.6
, pp. 1355-1370
-
-
Cha, S.-H.1
Srihari, S.N.2
-
6
-
-
33745154178
-
Probabilistic kernels for the classification of auto-regressive visual processes
-
DOI 10.1109/CVPR.2005.279, 1467355, Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005
-
A. Chan and N. Vasconcelos. Probabilistic kernels for the classification of auto-regressive visual processes. In IEEE Conference on Computer Vision and Pattern Recognition, volume 1, pages 846-851, 2005. (Pubitemid 43897281)
-
(2005)
Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005
, vol.I
, pp. 846-851
-
-
Chan, A.B.1
Vasconcelos, N.2
-
8
-
-
70450199534
-
Recognition of visual dynamical processes: Theory, kernels and experimental evaluation
-
R. Chaudhry and R. Vidal. Recognition of visual dynamical processes: Theory, kernels and experimental evaluation. Technical report, Johns Hopkins University, 2009.
-
(2009)
Technical Report, Johns Hopkins University
-
-
Chaudhry, R.1
Vidal, R.2
-
9
-
-
0037162420
-
Subspace angles and distances between ARMA models
-
K. D. Cock and B. D. Moor. Subspace angles and distances between ARMA models. System and Control Letters, 46(4):265-270, 2002.
-
(2002)
System and Control Letters
, vol.46
, Issue.4
, pp. 265-270
-
-
Cock, K.D.1
Moor, B.D.2
-
10
-
-
33846622081
-
Behavior recognition via sparse spatio-temporal features
-
October
-
P. Dollár, V. Rabaud, G. Cottrell, and S. Belongie. Behavior recognition via sparse spatio-temporal features. In VS-PETS, October 2005.
-
(2005)
VS-PETS
-
-
Dollár, P.1
Rabaud, V.2
Cottrell, G.3
Belongie, S.4
-
11
-
-
0037312530
-
Dynamic textures
-
G. Doretto, A. Chiuso, Y. Wu, and S. Soatto. Dynamic textures. Int. Journal of Computer Vision, 51(2):91-109, 2003.
-
(2003)
Int. Journal of Computer Vision
, vol.51
, Issue.2
, pp. 91-109
-
-
Doretto, G.1
Chiuso, A.2
Wu, Y.3
Soatto, S.4
-
13
-
-
0344983342
-
Recognizing action at a distance
-
A. Efros, A. Berg, G. Mori, and J. Malik. Recognizing action at a distance. In IEEE International Conference on Computer Vision, pages 726-733, 2003.
-
(2003)
IEEE International Conference on Computer Vision
, pp. 726-733
-
-
Efros, A.1
Berg, A.2
Mori, G.3
Malik, J.4
-
15
-
-
36248957499
-
Actions as space-time shapes
-
L. Gorelick, M. Blank, E. Shechtman, M. Irani, and R. Basri. Actions as space-time shapes. IEEE Trans. on Pattern Analysis and Machine Intelligence, 29(12):2247-2253, 2007.
-
(2007)
IEEE Trans. on Pattern Analysis and Machine Intelligence
, vol.29
, Issue.12
, pp. 2247-2253
-
-
Gorelick, L.1
Blank, M.2
Shechtman, E.3
Irani, M.4
Basri, R.5
-
16
-
-
52449115894
-
Searching for complex human activities with no visual examples
-
N. İkizler and D. A. Forsyth. Searching for complex human activities with no visual examples. International Journal of Computer Vision, 80(3):337-357, 2008.
-
(2008)
International Journal of Computer Vision
, vol.80
, Issue.3
, pp. 337-357
-
-
Ikizler, N.1
Forsyth, D.A.2
-
17
-
-
24944451092
-
On space-time interest points
-
I. Laptev. On space-time interest points. Int. Journal of Computer Vision, 64(2-3):107-123, 2005.
-
(2005)
Int. Journal of Computer Vision
, vol.64
, Issue.2-3
, pp. 107-123
-
-
Laptev, I.1
-
20
-
-
45049084813
-
Unsupervised learning of human action categories using spatial-temporal words
-
J. C. Niebles, H. Wang, and L. Fei-Fei. Unsupervised learning of human action categories using spatial-temporal words. International Journal of Computer Vision, 79:299-318, 2008.
-
(2008)
International Journal of Computer Vision
, vol.79
, pp. 299-318
-
-
Niebles, J.C.1
Wang, H.2
Fei-Fei, L.3
-
21
-
-
0001915002
-
Information and accuracy attainable in the estimation of statistical parameters
-
C. R. Rao. Information and accuracy attainable in the estimation of statistical parameters. Bull. Calcutta Math Soc., 37:81-89, 1945.
-
(1945)
Bull. Calcutta Math Soc.
, vol.37
, pp. 81-89
-
-
Rao, C.R.1
-
24
-
-
0347243182
-
Nonlinear component analysis as a kernel eigenvalue problem
-
B. Scholkopf, A. Smola, and K.-R. Muller. Nonlinear component analysis as a kernel eigenvalue problem. Neural Computation, 10:1299-1319, 1998.
-
(1998)
Neural Computation
, vol.10
, pp. 1299-1319
-
-
Scholkopf, B.1
Smola, A.2
Muller, K.-R.3
-
25
-
-
84986753417
-
An approach to time series smoothing and forecasting using the EM algorithm
-
R. Shumway and D. Stoffer. An approach to time series smoothing and forecasting using the EM algorithm. Journal of Time Series Analysis, 3(4):253-264, 1982.
-
(1982)
Journal of Time Series Analysis
, vol.3
, Issue.4
, pp. 253-264
-
-
Shumway, R.1
Stoffer, D.2
-
29
-
-
33846637208
-
Binet-Cauchy kernels on dynamical systems and its application to the analysis of dynamic scenes
-
S. Vishwanathan, A. Smola, and R. Vidal. Binet-Cauchy kernels on dynamical systems and its application to the analysis of dynamic scenes. International Journal of Computer Vision, 73(1):95-119, 2007.
-
(2007)
International Journal of Computer Vision
, vol.73
, Issue.1
, pp. 95-119
-
-
Vishwanathan, S.1
Smola, A.2
Vidal, R.3
-
32
-
-
33745860018
-
Local features and kernels for classification of texture and object categories: An in-depth study
-
J. Zhang, M. Marszalek, S. Lazebnik, and C. Schmid. Local features and kernels for classification of texture and object categories: An in-depth study. Technical report, INRIA, 2005.
-
(2005)
Technical Report, INRIA
-
-
Zhang, J.1
Marszalek, M.2
Lazebnik, S.3
Schmid, C.4
|