-
1
-
-
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
-
2
-
-
0037312530
-
Dynamic textures
-
G. Doretto, A. Chiuso, Y. Wu, and S. Soatto. Dynamic textures. International Journal of Computer Vision, 51(2):91-109, 2003.
-
(2003)
International Journal of Computer Vision
, vol.51
, Issue.2
, pp. 91-109
-
-
Doretto, G.1
Chiuso, A.2
Wu, Y.3
Soatto, S.4
-
3
-
-
0003922190
-
-
Wiley, New York, 2nd edition
-
R. Duda, P. Hart, and D. Stork. Pattern Classification. Wiley, New York, 2nd edition, 2000.
-
(2000)
Pattern Classification
-
-
Duda, R.1
Hart, P.2
Stork, D.3
-
5
-
-
0034164230
-
Special invited paper. additive logistic regression: A statistical view of boosting
-
J. H. Friedman, T. Hastie, and R. Tibshirani. Special invited paper. additive logistic regression: A statistical view of boosting. The Annals of Statistics, 28(2):337-374, 2000.
-
(2000)
The Annals of Statistics
, vol.28
, Issue.2
, pp. 337-374
-
-
Friedman, J.H.1
Hastie, T.2
Tibshirani, R.3
-
7
-
-
24644509763
-
Boosted particle filter: Multitarget detection and tracking
-
K. Okuma, A.Taleghani, N. Freitas, J. Little, and D. Lowe. Boosted particle filter: multitarget detection and tracking. In European Conference on Computer Vision, 2004.
-
(2004)
European Conference on Computer Vision
-
-
Okuma, K.1
Taleghani, A.2
Freitas, N.3
Little, J.4
Lowe, D.5
-
8
-
-
0027589792
-
Subspace algorithms for the stochastic identification problem
-
P. V. Overschee and B. D. Moor. Subspace algorithms for the stochastic identification problem. Automatica, 29(3):649-660, 1993.
-
(1993)
Automatica
, vol.29
, Issue.3
, pp. 649-660
-
-
Overschee, P.V.1
Moor, B.D.2
-
9
-
-
0031633979
-
Improved boosting algorithms using confidence-rated predictions
-
R. E. Schapire and Y. Singer. Improved boosting algorithms using confidence-rated predictions. In Computational learning theory, pages 80-91, 1998.
-
(1998)
Computational learning theory
, pp. 80-91
-
-
Schapire, R.E.1
Singer, Y.2
-
10
-
-
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
-
14
-
-
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. Int. Journal of Computer Vision, 73(1):95-119, 2007.
-
(2007)
Int. Journal of Computer Vision
, vol.73
, Issue.1
, pp. 95-119
-
-
Vishwanathan, S.1
Smola, A.2
Vidal, R.3
-
15
-
-
50649092815
-
The segmental boosting algorithm for time-series feature selection
-
P. Yin, I. Essa, and J. Rehg. The segmental boosting algorithm for time-series feature selection. In Learning Workshop, 2007.
-
(2007)
Learning Workshop
-
-
Yin, P.1
Essa, I.2
Rehg, J.3
|