-
2
-
-
52949105353
-
Hand gesture recognition and tracking based on distributed locally linear embedding
-
Ge S. S., Yang Y., Lee T. H., Hand gesture recognition and tracking based on distributed locally linear embedding Image and Vision Computing 2008 26 12 1607 1620
-
(2008)
Image and Vision Computing
, vol.26
, Issue.12
, pp. 1607-1620
-
-
Ge, S.S.1
Yang, Y.2
Lee, T.H.3
-
4
-
-
33845531530
-
Fuzzy rule-based hand gesture recognition
-
DOI 10.1007/978-0-387-34747-9-30, Artificial Intelligence in Theory and Practice: IFIP 19th World Computer Congress, TC 12: IFIP AI 2006 Stream, August 21-24, 2006, Santiago, Chile
-
Bedregal B. C., Costa A. C. R., Dimuro G. P., Fuzzy rule-based hand gesture recognition Artificial Intelligence in Theory and Practice 2009 Springer 285 294 (Pubitemid 44920592)
-
(2006)
IFIP International Federation for Information Processing
, vol.217
, pp. 285-294
-
-
Bedregal, B.C.1
Costa, A.C.R.2
Dimuro, G.P.3
-
5
-
-
33750815393
-
Hand posture classification and recognition using the modified census transform
-
DOI 10.1109/FGR.2006.62, 1613045, FGR 2006: Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
-
Just A., Yann R., Marcel S., Hand posture classification and recognition using the modified census transform Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition 2006 Southampton, UK 351 356 (Pubitemid 44711375)
-
(2006)
FGR 2006: Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
, vol.2006
, pp. 351-356
-
-
Just, A.1
Rodriguez, Y.2
Marcel, S.3
-
6
-
-
34250718802
-
Hand gesture classification using boosted cascade of classifiers
-
DOI 10.1109/RIVF.2006.1696430, 1696430, Proceedings of the 4th IEEE International Conference on Research, Innovation and Vision for the Future, RIVF'06
-
Dinh T. B., Dang V. B., Duong D. A., Nguyen T. T., Le D. D., Hand gesture classification using boosted cascade of classifiers Proceedings of the International Conference on Research, Innovation and Vision for the Future 2006 Ho Chi Minh City, Vietnam 139 144 (Pubitemid 46949333)
-
(2006)
Proceedings of the 4th IEEE International Conference on Research, Innovation and Vision for the Future, RIVF'06
, pp. 139-144
-
-
Dinh, T.B.1
Dang, V.B.2
Duong, D.A.3
Nguyen, T.T.4
Le, D.-D.5
-
9
-
-
76749112431
-
On the use of graph parsing for recognition of isolated hand postures of Polish Sign Language
-
Flasiski M., Myliski S., On the use of graph parsing for recognition of isolated hand postures of Polish Sign Language Pattern Recognition 2010 43 6 2249 2264
-
(2010)
Pattern Recognition
, vol.43
, Issue.6
, pp. 2249-2264
-
-
Flasiski, M.1
Myliski, S.2
-
10
-
-
78249251185
-
A Dempster-Shafer theory based combination of classifiers for hand gesture recognition
-
Burger T., Aran O., Urankar A., Caplier A., Akarun L., A Dempster-Shafer theory based combination of classifiers for hand gesture recognition Communications in Computer and Information Science 2008 21 137 150
-
(2008)
Communications in Computer and Information Science
, vol.21
, pp. 137-150
-
-
Burger, T.1
Aran, O.2
Urankar, A.3
Caplier, A.4
Akarun, L.5
-
11
-
-
61349195010
-
A comparative study of two state-of-the-art sequence processing techniques for hand gesture recognition
-
Just A., Marcel S., A comparative study of two state-of-the-art sequence processing techniques for hand gesture recognition Computer Vision and Image Understanding 2009 113 4 532 543
-
(2009)
Computer Vision and Image Understanding
, vol.113
, Issue.4
, pp. 532-543
-
-
Just, A.1
Marcel, S.2
-
12
-
-
58249093231
-
A belief-based sequential fusion approach for fusing manual signs and non-manual signals
-
Aran O., Burger T., Caplier A., Akarun L., A belief-based sequential fusion approach for fusing manual signs and non-manual signals Pattern Recognition 2009 42 5 812 822
-
(2009)
Pattern Recognition
, vol.42
, Issue.5
, pp. 812-822
-
-
Aran, O.1
Burger, T.2
Caplier, A.3
Akarun, L.4
-
13
-
-
35348915328
-
Classifier ensembles: Select real-world applications
-
DOI 10.1016/j.inffus.2007.07.002, PII S1566253507000620, Applications of Ensemble Methods
-
Oza N. C., Tumer K., Classifier ensembles: Select real-world applications Information Fusion 2008 9 1 4 20 (Pubitemid 47589064)
-
(2008)
Information Fusion
, vol.9
, Issue.1
, pp. 4-20
-
-
Oza, N.C.1
Tumer, K.2
-
15
-
-
79251598720
-
Ensemble of feature sets and classification algorithms for sentiment classification
-
Xia R., Zong C., Li S., Ensemble of feature sets and classification algorithms for sentiment classification Information Sciences 2011 181 6 1138 1152
-
(2011)
Information Sciences
, vol.181
, Issue.6
, pp. 1138-1152
-
-
Xia, R.1
Zong, C.2
Li, S.3
-
16
-
-
0030211964
-
Bagging predictors
-
Breiman L., Bagging predictors Machine Learning 1996 24 2 123 140 (Pubitemid 126724382)
-
(1996)
Machine Learning
, vol.24
, Issue.2
, pp. 123-140
-
-
Breiman, L.1
-
17
-
-
0032139235
-
The random subspace method for constructing decision forests
-
Ho T. K., The random subspace method for constructing decision forests IEEE Transactions on Pattern Analysis and Machine Intelligence 1998 20 8 832 844 (Pubitemid 128741345)
-
(1998)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.20
, Issue.8
, pp. 832-844
-
-
Ho, T.K.1
-
18
-
-
0035478854
-
Random forests
-
DOI 10.1023/A:1010933404324
-
Breiman L., Random forests Machine Learning 2001 45 1 5 32 (Pubitemid 32933532)
-
(2001)
Machine Learning
, vol.45
, Issue.1
, pp. 5-32
-
-
Breiman, L.1
-
19
-
-
0001902550
-
-
London, UK Chapman Hall/CRC Monographs on Statistics and Applied Probability
-
Efron B., Tibshirani R. J., An Introduction to the Bootstrap 1993 57 London, UK Chapman Hall/CRC xvi+436 Monographs on Statistics and Applied Probability
-
(1993)
An Introduction to the Bootstrap
, vol.57
, pp. 436
-
-
Efron, B.1
Tibshirani, R.J.2
-
20
-
-
85052770793
-
-
New York, NY, USA Chapman and Hall Wadsworth Statistics/Probability Series
-
Breiman L., Friedman J. H., Olshen R. A., Stone C. J., Classification and Regression Trees 1984 New York, NY, USA Chapman and Hall x+358 Wadsworth Statistics/Probability Series
-
(1984)
Classification and Regression Trees
, pp. 358
-
-
Breiman, L.1
Friedman, J.H.2
Olshen, R.A.3
Stone, C.J.4
-
22
-
-
0031211090
-
A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting
-
Freund Y., Schapire R. E., A decision-theoretic generalization of on-line learning and an application to boosting Journal of Computer and System Sciences 1997 55 1 119 139 (Pubitemid 127433398)
-
(1997)
Journal of Computer and System Sciences
, vol.55
, Issue.1
, pp. 119-139
-
-
Freund, Y.1
Schapire, R.E.2
-
24
-
-
78649934709
-
-
Irvine, Calif, USA University of California, School of Information and Computer Science
-
Frank A., Asuncion A., UCI Machine Learning Repository 2010 Irvine, Calif, USA University of California, School of Information and Computer Science
-
(2010)
UCI Machine Learning Repository
-
-
Frank, A.1
Asuncion, A.2
-
25
-
-
10444259853
-
Creating diversity in ensembles using artificial data
-
Melville P., Mooney R. J., Creating diversity in ensembles using artificial data Information Fusion 2005 6 1 99 111
-
(2005)
Information Fusion
, vol.6
, Issue.1
, pp. 99-111
-
-
Melville, P.1
Mooney, R.J.2
-
27
-
-
0032645080
-
Empirical comparison of voting classification algorithms: Bagging, boosting, and variants
-
Bauer E., Kohavi R., Empirical comparison of voting classification algorithms: bagging, boosting, and variants Machine Learning 1999 36 1 105 139
-
(1999)
Machine Learning
, vol.36
, Issue.1
, pp. 105-139
-
-
Bauer, E.1
Kohavi, R.2
-
28
-
-
44449124996
-
RotBoost: A technique for combining Rotation Forest and AdaBoost
-
Zhang C. X., Zhang J. S., RotBoost: a technique for combining Rotation Forest and AdaBoost Pattern Recognition Letters 2008 29 10 1524 1536
-
(2008)
Pattern Recognition Letters
, vol.29
, Issue.10
, pp. 1524-1536
-
-
Zhang, C.X.1
Zhang, J.S.2
-
29
-
-
67650692780
-
A novel method for constructing ensemble classifiers
-
Zhang C. X., Zhang J. S., A novel method for constructing ensemble classifiers Statistics and Computing 2009 19 3 317 327
-
(2009)
Statistics and Computing
, vol.19
, Issue.3
, pp. 317-327
-
-
Zhang, C.X.1
Zhang, J.S.2
-
31
-
-
0346786584
-
Arcing classifiers
-
Breiman L., Arcing classifiers The Annals of Statistics 1998 26 3 801 849 (Pubitemid 128450035)
-
(1998)
Annals of Statistics
, vol.26
, Issue.3
, pp. 801-849
-
-
Breiman, L.1
-
32
-
-
0034247206
-
MultiBoosting: A technique for combining boosting and wagging
-
Webb G. I., MultiBoosting: a technique for combining boosting and wagging Machine Learning 2000 40 2 159 196
-
(2000)
Machine Learning
, vol.40
, Issue.2
, pp. 159-196
-
-
Webb, G.I.1
-
33
-
-
0037403462
-
Variance and bias for general loss functions
-
James G. M., Variance and bias for general loss functions Machine Learning 2003 51 2 115 135
-
(2003)
Machine Learning
, vol.51
, Issue.2
, pp. 115-135
-
-
James, G.M.1
-
35
-
-
69449097857
-
Taxonomy for characterizing ensemble methods in classification tasks: A review and annotated bibliography
-
Rokach L., Taxonomy for characterizing ensemble methods in classification tasks: a review and annotated bibliography Computational Statistics Data Analysis 2009 53 12 4046 4072
-
(2009)
Computational Statistics Data Analysis
, vol.53
, Issue.12
, pp. 4046-4072
-
-
Rokach, L.1
-
36
-
-
75149176174
-
Ensemble-based classifiers
-
Rokach L., Ensemble-based classifiers Artificial Intelligence Review 2010 33 1-2 1 39
-
(2010)
Artificial Intelligence Review
, vol.33
, Issue.12
, pp. 1-39
-
-
Rokach, L.1
-
37
-
-
0002289220
-
Pruning adaptive boosting
-
Morgan Kayfmann, San Mateo, Calif, USA
-
Margineantu D. D., Dietterich T. G., Pruning adaptive boosting Proceedings of the 14th International Conference on Machine Learning 1997 Morgan Kayfmann, San Mateo, Calif, USA 211 218
-
(1997)
Proceedings of the 14th International Conference on Machine Learning
, pp. 211-218
-
-
Margineantu, D.D.1
Dietterich, T.G.2
|