-
1
-
-
0030649239
-
The representation and recognition of human movement using temporal templates
-
J. Davis and A, Bobick. The representation and recognition of human movement using temporal templates. In Proc. of CVPR, pages 928-934, 1997.
-
(1997)
Proc. of CVPR
, pp. 928-934
-
-
Davis, J.1
Bobick, A.2
-
2
-
-
85060905667
-
Recognizing human action in time-sequential iages using hidden Markov model
-
J. Yamato et al. Recognizing human action in time-sequential iages using hidden Markov model. In Proc. of CVPR, pages 379-385, 1992.
-
(1992)
Proc. of CVPR
, pp. 379-385
-
-
Yamato, J.1
-
3
-
-
0036450937
-
Human-like action recognition system using features extracted by human
-
T. Mori et al. Human-like action recognition system using features extracted by human. In Proc. of IROS, pages 1214-1220, 2002.
-
(2002)
Proc. of IROS
, pp. 1214-1220
-
-
Mori, T.1
-
4
-
-
0024610919
-
A tutorial on hidden Markov models and selected applications in speech recognition
-
L. Rabiner. A tutorial on hidden Markov models and selected applications in speech recognition. In Proc. of the IEEE, volume 77, pages 257-285, 1989.
-
(1989)
Proc. of the IEEE
, vol.77
, pp. 257-285
-
-
Rabiner, L.1
-
6
-
-
0034876648
-
Imitation and primitives symbol acquisition of humanoids by integrated mimesis loop
-
T. Inamura et al. Imitation and primitives symbol acquisition of humanoids by integrated mimesis loop. In Proc. of ICRA, pages 4208-4213, 2001.
-
(2001)
Proc. of ICRA
, pp. 4208-4213
-
-
Inamura, T.1
-
7
-
-
3042625140
-
Online motion classification using support vector machine
-
D. Cao et al. Online motion classification using support vector machine. In Proc. of ICRA, volume 3, pages 2291-2296, 2004.
-
(2004)
Proc. of ICRA
, vol.3
, pp. 2291-2296
-
-
Cao, D.1
-
8
-
-
18544389931
-
Recognition of actions in daily life and its performance adjustment based on support vector learning
-
T. Mori et al. Recognition of actions in daily life and its performance adjustment based on support vector learning. Intl. Journal of Humanoid Robotics, 1(4):565-583, 2004.
-
(2004)
Intl. Journal of Humanoid Robotics
, vol.1
, Issue.4
, pp. 565-583
-
-
Mori, T.1
-
9
-
-
0032645080
-
An empirical comparison of voting classification algorithms: Bagging, boosting, and variants
-
E. Bauer and R. Kohavi. An empirical comparison of voting classification algorithms: bagging, boosting, and variants. Machine Learning, 36(1-2):105-139, 1999.
-
(1999)
Machine Learning
, vol.36
, Issue.1-2
, pp. 105-139
-
-
Bauer, E.1
Kohavi, R.2
-
10
-
-
85043515682
-
Boosting a weak learning algorithm by majority
-
Y. Freund. Boosting a weak learning algorithm by majority. In Proc. of COLT, pages 202-216, 1990.
-
(1990)
Proc. of COLT
, pp. 202-216
-
-
Freund, Y.1
-
11
-
-
0030211964
-
Bagging predictors
-
L. Breiman. Bagging predictors. Machine Learning, 24(2): 123-140, 1996.
-
(1996)
Machine Learning
, vol.24
, Issue.2
, pp. 123-140
-
-
Breiman, L.1
-
12
-
-
0344983340
-
Detecting pedestrians using patterns of motion and appearance
-
P. Viola et al. Detecting pedestrians using patterns of motion and appearance. In Proc. of ICCV, volume 2, pages 734-741, 2003.
-
(2003)
Proc. of ICCV
, vol.2
, pp. 734-741
-
-
Viola, P.1
-
13
-
-
34250629837
-
Recognition of daily action based on automatic feature-selection using adaboost (in Japanese)
-
T.Mori et al. Recognition of daily action based on automatic feature-selection using adaboost (in Japanese). In Proc. of SICE SI 2006, pages 545-546, 2006.
-
(2006)
Proc. of SICE SI 2006
, pp. 545-546
-
-
Mori, T.1
-
14
-
-
0036161011
-
Choosing multiple parameters for suppurt vector machines
-
O.Chapelle et al. Choosing multiple parameters for suppurt vector machines, Machine Learning, 46(1):131-159, 2002.
-
(2002)
Machine Learning
, vol.46
, Issue.1
, pp. 131-159
-
-
Chapelle, O.1
|