-
2
-
-
84874082797
-
An adaboost algorithm for multiclass semi-supervised learning
-
J. Tanha, M. van Someren, H. Afsarmanesh, An adaboost algorithm for multiclass semi-supervised learning, in: 2012 IEEE 12th International Conference on Data Mining (ICDM), 2012, pp. 1116-1121.
-
(2012)
2012 IEEE 12th International Conference on Data Mining (ICDM)
, pp. 1116-1121
-
-
Tanha, J.1
Van Someren, M.2
Afsarmanesh, H.3
-
3
-
-
78650572282
-
An empirical study of binary classifier fusion methods for multiclass classification
-
N. García-Pedrajas, and D. Ortiz-Boyer An empirical study of binary classifier fusion methods for multiclass classification Information Fusion 12 2 2011 111 130
-
(2011)
Information Fusion
, vol.12
, Issue.2
, pp. 111-130
-
-
García-Pedrajas, N.1
Ortiz-Boyer, D.2
-
4
-
-
0036505670
-
A comparison of methods for multiclass support vector machines
-
C.-W. Hsu, and C.-J. Lin A comparison of methods for multiclass support vector machines IEEE Transactions on Neural Networks 13 2 2002 415 425
-
(2002)
IEEE Transactions on Neural Networks
, vol.13
, Issue.2
, pp. 415-425
-
-
Hsu, C.-W.1
Lin, C.-J.2
-
5
-
-
0029183827
-
Efficient classification for multiclass problems using modular neural networks
-
R. Anand, K. Mehrotra, C.K. Mohan, and S. Ranka Efficient classification for multiclass problems using modular neural networks IEEE Transactions on Neural Networks 6 1 1995 117 124
-
(1995)
IEEE Transactions on Neural Networks
, vol.6
, Issue.1
, pp. 117-124
-
-
Anand, R.1
Mehrotra, K.2
Mohan, C.K.3
Ranka, S.4
-
9
-
-
57349128872
-
Separability of ternary codes for sparse designs of error-correcting output codes
-
S. Escalera, O. Pujol, and P. Radeva Separability of ternary codes for sparse designs of error-correcting output codes Pattern Recognition Letters 30 3 2009 285 297
-
(2009)
Pattern Recognition Letters
, vol.30
, Issue.3
, pp. 285-297
-
-
Escalera, S.1
Pujol, O.2
Radeva, P.3
-
10
-
-
84992322729
-
Error-correcting output coding corrects bias and variance
-
A. Prieditis, J. Lemmer (Eds.)
-
E. Kong, T. Dietterich, Error-correcting output coding corrects bias and variance, in: A. Prieditis, J. Lemmer (Eds.), Machine Learning: Proceedings of the Twelfth International Conference on Machine Learning, 1995, pp. 313-321.
-
(1995)
Machine Learning: Proceedings of the Twelfth International Conference on Machine Learning
, pp. 313-321
-
-
Kong, E.1
Dietterich, T.2
-
11
-
-
33645983801
-
-
Technical Report, Department of Computer Science, Oregon State University, Corvallis, OR
-
E. Kong, T. Dietterich, Why Error-Correcting Output Coding Works with Decision Trees, Technical Report, Department of Computer Science, Oregon State University, Corvallis, OR, 1995.
-
(1995)
Why Error-Correcting Output Coding Works with Decision Trees
-
-
Kong, E.1
Dietterich, T.2
-
12
-
-
0037368938
-
Coding and decoding strategies for multi-class learning problems
-
T. Windeatt, and R. Ghaderi Coding and decoding strategies for multi-class learning problems Information Fusion 4 1 2003 11 21
-
(2003)
Information Fusion
, vol.4
, Issue.1
, pp. 11-21
-
-
Windeatt, T.1
Ghaderi, R.2
-
13
-
-
17644374175
-
Support vector machine-based image classification for genetic syndrome diagnosis
-
A. David, and B. Lerner Support vector machine-based image classification for genetic syndrome diagnosis Pattern Recognition Letters 26 8 2005 1029 1038
-
(2005)
Pattern Recognition Letters
, vol.26
, Issue.8
, pp. 1029-1038
-
-
David, A.1
Lerner, B.2
-
14
-
-
48749124392
-
Multiclass support vector machines for diagnosis of erythemato-squamous diseases
-
E.D. Ubeyli Multiclass support vector machines for diagnosis of erythemato-squamous diseases Expert Systems with Applications 35 4 2008 1733 1740
-
(2008)
Expert Systems with Applications
, vol.35
, Issue.4
, pp. 1733-1740
-
-
Ubeyli, E.D.1
-
15
-
-
0344946407
-
Face verification via error correcting output codes
-
J. Kittler, R. Ghaderi, T. Windeatt, and J. Matas Face verification via error correcting output codes Image and Vision Computing 21 13-14 2003 1163 1169
-
(2003)
Image and Vision Computing
, vol.21
, Issue.1314
, pp. 1163-1169
-
-
Kittler, J.1
Ghaderi, R.2
Windeatt, T.3
Matas, J.4
-
16
-
-
84869164922
-
Error correcting output codes for multiclass classification: Application to two image vision problems
-
Shiraz, Iran
-
M.A. Bagheri, G.A. Montazer, S. Escalera, Error correcting output codes for multiclass classification: application to two image vision problems, in: 2012 16th CSI International Symposium on Artificial Intelligence and Signal Processing (AISP), Shiraz, Iran, 2012, pp. 508-513.
-
(2012)
2012 16th CSI International Symposium on Artificial Intelligence and Signal Processing (AISP)
, pp. 508-513
-
-
Bagheri, M.A.1
Montazer, G.A.2
Escalera, S.3
-
17
-
-
0001652061
-
Binary labelling and decision-level fusion
-
T. Windeatt, and R. Ghaderi Binary labelling and decision-level fusion Information Fusion 2 2 2001 103 112
-
(2001)
Information Fusion
, vol.2
, Issue.2
, pp. 103-112
-
-
Windeatt, T.1
Ghaderi, R.2
-
21
-
-
0000040021
-
Using output codes to boost multiclass learning problems
-
San Francisco, CA, Morgan Kauffman, Los Altos, CA
-
R. Schapire, Using output codes to boost multiclass learning problems, in: Proceedings of the 14th International Conference on Machine Learning, San Francisco, CA, Morgan Kauffman, Los Altos, CA, 1997, pp. 313-321.
-
(1997)
Proceedings of the 14th International Conference on Machine Learning
, pp. 313-321
-
-
Schapire, R.1
-
24
-
-
0001562581
-
Linear and order statistics combiners for pattern classification
-
A. Sharkey, Springer Berlin
-
K. Tumer, and J. Ghosh Linear and order statistics combiners for pattern classification A. Sharkey, Combining Artificial Neural Nets 1999 Springer Berlin 127 162
-
(1999)
Combining Artificial Neural Nets
, pp. 127-162
-
-
Tumer, K.1
Ghosh, J.2
-
27
-
-
83655184759
-
Decoding design based on posterior probabilities in ternary error-correcting output codes
-
J.D. Zhou, X.D. Wang, H.J. Zhou, J.M. Zhang, and N. Jia Decoding design based on posterior probabilities in ternary error-correcting output codes Pattern Recognition 45 4 2012 1802 1818
-
(2012)
Pattern Recognition
, vol.45
, Issue.4
, pp. 1802-1818
-
-
Zhou, J.D.1
Wang, X.D.2
Zhou, H.J.3
Zhang, J.M.4
Jia, N.5
-
29
-
-
50549175697
-
On a class of error-correcting binary group codes
-
R. Bose, and D. Ray-Chaudhuri On a class of error-correcting binary group codes Information and Control 3 1960 68 79
-
(1960)
Information and Control
, vol.3
, pp. 68-79
-
-
Bose, R.1
Ray-Chaudhuri, D.2
-
30
-
-
84856799903
-
Minimal design of error-correcting output codes
-
M.n. Bautista, S. Escalera, X. Baró, P. Radeva, J. Vitriá, and O. Pujol Minimal design of error-correcting output codes Pattern Recognition Letters 33 6 2012 693 702
-
(2012)
Pattern Recognition Letters
, vol.33
, Issue.6
, pp. 693-702
-
-
Bautista M, N.1
Escalera, S.2
Baró, X.3
Radeva, P.4
Vitriá, J.5
Pujol, O.6
-
31
-
-
9644281038
-
Using diversity measures for generating error-correcting output codes in classifier ensembles
-
L.I. Kuncheva Using diversity measures for generating error-correcting output codes in classifier ensembles Pattern Recognition Letters 26 2005 83 90
-
(2005)
Pattern Recognition Letters
, vol.26
, pp. 83-90
-
-
Kuncheva, L.I.1
-
32
-
-
0035350036
-
Stochastic organization of output codes in multiclass learning problems
-
W. Utschick, and W. Weichselberger Stochastic organization of output codes in multiclass learning problems Neural Computation 13 5 2001 1065 1102
-
(2001)
Neural Computation
, vol.13
, Issue.5
, pp. 1065-1102
-
-
Utschick, W.1
Weichselberger, W.2
-
33
-
-
43249104670
-
Subclass problem-dependent design of error-correcting output codes
-
S. Escalera, D. Tax, O. Pujol, P. Radeva, and R. Duin Subclass problem-dependent design of error-correcting output codes IEEE Transactions on Pattern Analysis and Machine Intelligence 30 6 2009 1041 1054
-
(2009)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.30
, Issue.6
, pp. 1041-1054
-
-
Escalera, S.1
Tax, D.2
Pujol, O.3
Radeva, P.4
Duin, R.5
-
34
-
-
0036568032
-
On the learnability and design of output codes for multiclass problems
-
K. Crammer, and Y. Singer On the learnability and design of output codes for multiclass problems Machine Learning 47 2-3 2002 201 233
-
(2002)
Machine Learning
, vol.47
, Issue.23
, pp. 201-233
-
-
Crammer, K.1
Singer, Y.2
-
35
-
-
33645963453
-
Discriminant ECOC: A heuristic method for application dependent design of error correcting output codes
-
O. Pujol, P. Radeva, and J. Vitria Discriminant ECOC: a heuristic method for application dependent design of error correcting output codes IEEE Transactions on Pattern Analysis and Machine Intelligence 28 6 2006 1007 1012
-
(2006)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.28
, Issue.6
, pp. 1007-1012
-
-
Pujol, O.1
Radeva, P.2
Vitria, J.3
-
36
-
-
34147151120
-
ECOC-ONE: A novel coding and decoding strategy
-
S. Escalera, O. Pujol, P. Radeva, ECOC-ONE: A novel coding and decoding strategy, in: 18th International Conference on Pattern Recognition, 2006 (ICPR 2006), vol. 3, 2006, pp. 578-581.
-
(2006)
18th International Conference on Pattern Recognition, 2006 (ICPR 2006)
, vol.3
, pp. 578-581
-
-
Escalera, S.1
Pujol, O.2
Radeva, P.3
-
37
-
-
0033330591
-
Learning error-correcting output codes from data
-
E. Alpaydin, E. Mayoraz, Learning error-correcting output codes from data, in: International Conference on Artificial Neural Networks (ICANN99), vol. 2, 1999, pp. 43-748.
-
(1999)
International Conference on Artificial Neural Networks (ICANN99)
, vol.2
, pp. 43-748
-
-
Alpaydin, E.1
Mayoraz, E.2
-
38
-
-
34548126507
-
Data-driven decomposition for multi-class classification
-
J. Zhou, H. Peng, and C.Y. Suen Data-driven decomposition for multi-class classification Pattern Recognition 41 1 2008 67 76
-
(2008)
Pattern Recognition
, vol.41
, Issue.1
, pp. 67-76
-
-
Zhou, J.1
Peng, H.2
Suen, C.Y.3
-
39
-
-
84861185449
-
Joint learning of error-correcting output codes and dichotomizers from data
-
G. Zhong, K. Huang, and C.-L. Liu Joint learning of error-correcting output codes and dichotomizers from data Neural Computing and Applications 21 4 2012 715 724
-
(2012)
Neural Computing and Applications
, vol.21
, Issue.4
, pp. 715-724
-
-
Zhong, G.1
Huang, K.2
Liu, C.-L.3
-
40
-
-
81855208951
-
Thinned-ECOC ensemble based on sequential code shrinking
-
N. Hatami Thinned-ECOC ensemble based on sequential code shrinking Expert Systems with Applications 39 1 2012 936 947
-
(2012)
Expert Systems with Applications
, vol.39
, Issue.1
, pp. 936-947
-
-
Hatami, N.1
-
41
-
-
78649934709
-
-
University of California, Irvine, School of Information and Computer Sciences
-
A. Frank, A. Asuncion, UCI Machine Learning Repository, University of California, Irvine, School of Information and Computer Sciences, 2010.
-
(2010)
UCI Machine Learning Repository
-
-
Frank, A.1
Asuncion, A.2
-
42
-
-
29644438050
-
Statistical comparisons of classifiers over multiple data sets
-
J. Demsar Statistical comparisons of classifiers over multiple data sets Journal of Machine Learning Research 7 2006 1 30
-
(2006)
Journal of Machine Learning Research
, vol.7
, pp. 1-30
-
-
Demsar, J.1
-
44
-
-
0001750957
-
Approximations of the critical regions of the Friedman statistic
-
R. Iman, and J. Davenport Approximations of the critical regions of the Friedman statistic Communications in Statistics 6 1980 571 595
-
(1980)
Communications in Statistics
, vol.6
, pp. 571-595
-
-
Iman, R.1
Davenport, J.2
-
45
-
-
70349200595
-
Blurred shape model for binary and grey-level symbol recognition
-
S. Escalera, A. Fornés, O. Pujol, P. Radeva, G. Sánchez, and J. Lladós Blurred shape model for binary and grey-level symbol recognition Pattern Recognition Letters 30 15 2009 1424 1433
-
(2009)
Pattern Recognition Letters
, vol.30
, Issue.15
, pp. 1424-1433
-
-
Escalera, S.1
Fornés, A.2
Pujol, O.3
Radeva, P.4
Sánchez, G.5
Lladós, J.6
-
46
-
-
84878011137
-
-
University of Maryland, Laboratory for Language and Media Processing (LAMP)
-
University of Maryland, Laboratory for Language and Media Processing (LAMP), Logo Dataset (2012).
-
(2012)
Logo Dataset
-
-
-
47
-
-
0029722441
-
Applying algebraic and differential invariants for logo recognition
-
D. Doermann, E. Rivlin, and I. Weiss Applying algebraic and differential invariants for logo recognition Machine Vision and Applications 9 2 1996 73 86
-
(1996)
Machine Vision and Applications
, vol.9
, Issue.2
, pp. 73-86
-
-
Doermann, D.1
Rivlin, E.2
Weiss, I.3
-
48
-
-
0032164964
-
Shape-based retrieval a case study with trademark image databases
-
A. Jain, and A. Vailaya Shape-based retrieval a case study with trademark image databases Pattern Recognition 31 9 1998 1369 1390
-
(1998)
Pattern Recognition
, vol.31
, Issue.9
, pp. 1369-1390
-
-
Jain, A.1
Vailaya, A.2
-
49
-
-
54549085372
-
Trademark image retrieval using synthetic features for describing global shape and interior structure
-
C. Wei, Y. Li, W. Chau, and C. Li Trademark image retrieval using synthetic features for describing global shape and interior structure Pattern Recognition 42 3 2009 386 394
-
(2009)
Pattern Recognition
, vol.42
, Issue.3
, pp. 386-394
-
-
Wei, C.1
Li, Y.2
Chau, W.3
Li, C.4
-
50
-
-
33244478750
-
Gestalt-based feature similarity measure in trademark database
-
H. Jiang, C.-W. Ngo, and H.-K. Tan Gestalt-based feature similarity measure in trademark database Pattern Recognition 39 5 2006 988 1001
-
(2006)
Pattern Recognition
, vol.39
, Issue.5
, pp. 988-1001
-
-
Jiang, H.1
Ngo, C.-W.2
Tan, H.-K.3
-
51
-
-
0036556062
-
Noisy logo recognition using line segment Hausdorff distance
-
J. Chen, M.K. Leung, and Y. Gao Noisy logo recognition using line segment Hausdorff distance Pattern Recognition 36 4 2003 943 955
-
(2003)
Pattern Recognition
, vol.36
, Issue.4
, pp. 943-955
-
-
Chen, J.1
Leung, M.K.2
Gao, Y.3
-
52
-
-
84937655864
-
Visual pattern recognition by moment invariants
-
M. Hu Visual pattern recognition by moment invariants IRE Transactions on Information Theory 8 2 1962 179 187
-
(1962)
IRE Transactions on Information Theory
, vol.8
, Issue.2
, pp. 179-187
-
-
Hu, M.1
|