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WWW Version.
9801Integrating classification results in a multiple classifier
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PR(31), No. 7, July 1998, pp. 909-930.
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9807
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Stabilizing Classifiers for Very Small Sample Sizes,
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WWW Version.
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0310
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0301Interpret combination as th eimplicit reconstruction of the composite
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9701
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9705
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CVPR96(391-396).
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9710
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9806
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WWW Version.
9608(Univ. of Texas, Austin, USA)
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Semisupervised Learning for a Hybrid Generative/Discriminative
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PAMI(30), No. 3, March 2008, pp. 424-437.
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0801Classifier design.
BibRef
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0003Linearly combined. Minimum classifier error used to estimate
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Random Forests,
MachLearn(40), No. 2, 2000, pp. 139-157.
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On the Algorithmic Implementation of Stochastic Discrimination,
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WWW Version.
0008Construct appropriate classifiers.
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WWW Version.
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A Unified View of Rank-based Decision Combination,
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WWW Version.
HTML Version.
0009
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PR(34), No. 12, December 2001, pp. 2319-2330.
WWW Version.
0110It is shown that output independence of classifiers is not a requirement
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BibRef
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PRL(24), No. 9-10, June 2003, pp. 1163-1170.
WWW Version.
0304
BibRef
Earlier:
Why does output normalization create problems in multiple classifier
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ICPR02(II: 775-778).
WWW Version.
0211
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Petrou, M.,
Properties of the generalised fuzzy aggregation operators,
PRL(22), No. 1, January 2001, pp. 15-24.
HTML Version.
0105
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ICPR96(IV: 239-243).
WWW Version.
9608(Univ. of Surrey, UK)
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0105
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PRL(22), No. 6-7, May 2001, pp. 777-785.
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0105 See also Mathematical Theory of Evidence, A.
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Global convergence and mixing parameter selection in the
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0105
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0108
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0401Partition the feature space to a minimal number of nonintersecting
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0203
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0307
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0711
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Demrekler, M.[Mübeccel],
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WWW Version.
0208
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WWW Version.
0510
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Double-bagging: combining classifiers by bootstrap aggregation,
PR(36), No. 6, June 2003, pp. 1303-1309.
WWW Version.
0304
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Bovino, L.,
Dimauro, G.,
Impedovo, S.,
Lucchese, M.G.,
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Pirlo, G.,
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HTML Version.
0308
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Dimauro, G.,
Impedovo, S.,
Pirlo, G.,
Salzo, A.,
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DAS02(145 ff.).
HTML Version.
0303
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Pirlo, G.,
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Discovering Rules for Dynamic Configuration of Multi-classifier Systems,
DAS02(157 ff.).
HTML Version.
0303
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Dimauro, G.,
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Impedovo, S.,
Pirlo, G.,
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Knowledge-based methods for classifier combination:
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CIAP99(562-565).
WWW Version.
9909
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Experts' boasting in trainable fusion rules,
PAMI(25), No. 9, September 2003, pp. 1178-1182.
IEEE Abstract. IEEE Top Reference.
0309Experts can lead to biases in fusion rules if training of experts and
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BibRef
Bachmann, C.M.,
Bettenhausen, M.H.,
Fusina, R.A.,
Donato, T.F.,
Russ, A.L.,
Burke, J.W.,
Lamela, G.M.,
Rhea, W.J.,
Truitt, B.R.,
Porter, J.H.,
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IEEE Abstract. IEEE Top Reference.
0311
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Employing optimized combinations of one-class classifiers for automated
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PR(37), No. 6, June 2004, pp. 1085-1096.
WWW Version.
0405
BibRef
Rohlfing, T.,
Russakoff, D.B.,
Maurer, Jr., C.R.,
Performance-Based Classifier Combination in Atlas-Based Image
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MedImg(23), No. 8, August 2004, pp. 983-994.
IEEE Abstract. IEEE Top Reference.
0409Estimate performance of individual classifiers and combine.
BibRef
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Maurer, Jr., C.R.[Calvin R.],
Multi-classifier framework for atlas-based image segmentation,
PRL(26), No. 13, 1 October 2005, pp. 2070-2079.
WWW Version.
0509
BibRef
Earlier:
CVPR04(I: 255-260).
IEEE Abstract. IEEE Top Reference.
0408
BibRef
Melnik, O.[Ofer],
Vardi, Y.[Yehuda],
Zhang, C.H.[Cun-Hui],
Mixed Group Ranks: Preference and Confidence in Classifier Combination,
PAMI(26), No. 8, August 2004, pp. 973-981.
IEEE Abstract. IEEE Top Reference.
0407Analyze rules for combining when a large number of classes (biometrics).
BibRef
Shin, H.W.,
Sohn, S.Y.,
Selected tree classifier combination based on both accuracy and error
diversity,
PR(38), No. 2, February 2005, pp. 191-197.
WWW Version.
0411Build tree classifier, cluster them.
BibRef
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Shin, H.W.,
Experimental study for the comparison of classifier combination methods,
PR(40), No. 1, January 2007, pp. 33-40.
WWW Version.
0611Bagging; Random subspace method; Classifier selection; Parametric fusion
BibRef
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Singh, M.[Maneesha],
A dynamic classifier selection and combination approach to image region
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SP:IC(20), No. 3, March 2005, pp. 219-231.
WWW Version.
0501
BibRef
Zhu, H.[Hui],
Tang, X.L.[Xiang-Long],
Classifier geometrical characteristic comparison and its application in
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PRL(26), No. 6, 1 May 2005, pp. 829-842.
WWW Version.
0501
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Neumann, J.[Julia],
Schnörr, C.[Christoph],
Steidl, G.[Gabriele],
Efficient wavelet adaptation for hybrid wavelet-large margin
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PR(38), No. 11, November 2005, pp. 1815-1830.
WWW Version.
0509
BibRef
Earlier:
Feasible Adaptation Criteria for Hybrid Wavelet:
Large Margin Classifiers,
CAIP03(588-595).
WWW Version.
0311
BibRef
Zouari, H.[Héla],
Heutte, L.[Laurent],
Lecourtier, Y.[Yves],
Controlling the diversity in classifier ensembles through a measure of
agreement,
PR(38), No. 11, November 2005, pp. 2195-2199.
WWW Version.
0509
BibRef
And:
Experimental Comparison of Combination Rules using Simulated Data,
ICPR06(III: 152-155).
WWW Version.
0609
BibRef
Zouari, H.,
Heutte, L.,
Lecourtier, Y.,
Alimi, A.,
A new classifier simulator for evaluating parallel combination methods,
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IEEE Abstract. IEEE Top Reference.
0311
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Cost-conscious classifier ensembles,
PRL(26), No. 14, 15 October 2005, pp. 2206-2214.
WWW Version.
0510
BibRef
Alpaydin, E.[Ethem],
Multiple neural networks and weighted voting,
ICPR92(II:29-32).
WWW Version.
9208
BibRef
Topchy, A.,
Jain, A.K.,
Punch, W.F.,
Clustering Ensembles: Models of Consensus and Weak Partitions,
PAMI(27), No. 12, December 2005, pp. 1866-1881.
WWW Version.
0512First uniform representation for multiple classifiers.
Probabilistic model of consensus.
BibRef
Topchy, A.,
Minaei-Bidgoli, B.,
Jain, A.K.,
Punch, W.F.,
Adaptive clustering ensembles,
ICPR04(I: 272-275).
WWW Version.
0409
BibRef
Nanni, L.[Loris],
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PR(39), No. 3, March 2006, pp. 488-490.
WWW Version.
0601
BibRef
Nanni, L.[Loris],
Lumini, A.[Alessandra],
Ensemblator: An ensemble of classifiers for reliable classification of
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PRL(28), No. 5, 1 April 2007, pp. 622-630.
WWW Version.
0703Ensemble of classifiers; Machine learning; Bioinformatics
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Aksela, M.[Matti],
Laaksonen, J.T.[Jorma T.],
Using diversity of errors for selecting members of a committee
classifier,
PR(39), No. 4, April 2006, pp. 608-623.
WWW Version. Classifier combining; Committee classifier; Diversity; Diversity of errors
0604
BibRef
Aksela, M.,
Girdziusas, R.,
Laaksonen, J.T.,
Oja, E.,
Kangas, J.,
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IEEE Top Reference.
0209
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Garcia-Pedrajas, N.,
Ortiz-Boyer, D.,
Improving Multiclass Pattern Recognition by the Combination of Two
Strategies,
PAMI(28), No. 6, June 2006, pp. 1001-1006.
WWW Version.
0605
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García-Pedrajas, N.[Nicolás],
Ortiz-Boyer, D.[Domingo],
A cooperative constructive method for neural networks for pattern
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PR(40), No. 1, January 2007, pp. 80-98.
WWW Version.
0611Constructive algorithms; Pattern classification; Evolutionary computation;
Neural networks; Cooperative coevolution
BibRef
Lu, Z.[Zhiwu],
A regularized minimum cross-entropy algorithm on mixtures of experts
for time series prediction and curve detection,
PRL(27), No. 9, July 2006, pp. 947-955.
WWW Version. Regularization theory; Model selection; Time series prediction; Curve detection
0605
BibRef
Goodband, J.H.,
Haas, O.C.L.,
Mills, J.A.,
A mixture of experts committee machine to design compensators for
intensity modulated radiation therapy,
PR(39), No. 9, September 2006, pp. 1704-1714.
WWW Version.
0606Committee machines; Neural networks; Fuzzy C-means; Compensators;
Radiation therapy
BibRef
Wanas, N.M.[Nayer M.],
Dara, R.A.[Rozita A.],
Kamel, M.S.[Mohamed S.],
Adaptive fusion and co-operative training for classifier ensembles,
PR(39), No. 9, September 2006, pp. 1781-1794.
WWW Version.
0606Decision fusion; Co-operative training; Combining architecture
BibRef
Hu, T.M.[Tian-Ming],
Yu, Y.[Ying],
Xiong, J.Z.[Jin-Zhi],
Sung, S.Y.[Sam Yuan],
Maximum likelihood combination of multiple clusterings,
PRL(27), No. 13, 1 October 2006, pp. 1457-1464.
WWW Version.
0606Consensus clustering; Centroid clustering; Markov random field;
Metric distance function
BibRef
Rooney, N.[Niall],
Patterson, D.[David],
A weighted combination of stacking and dynamic integration,
PR(40), No. 4, April 2007, pp. 1385-1388.
WWW Version.
0701Ensemble learning; Stacking; Regression
BibRef
Rooney, N.[Niall],
Patterson, D.[David],
Nugent, C.[Chris],
Non-strict heterogeneous Stacking,
PRL(28), No. 9, 1 July 2007, pp. 1050-1061.
WWW Version.
0704Ensemble learning; Meta learning; Regression
BibRef
Ko, A.H.R.[Albert Hung-Ren],
Sabourin, Jr., R.[Robert],
de Souza Britto, A.[Alceu],
Oliveira, L.[Luiz],
Pairwise fusion matrix for combining classifiers,
PR(40), No. 8, August 2007, pp. 2198-2210.
WWW Version.
0704
BibRef
Earlier: A1, A2, A3, Only:
A New Objective Function for Ensemble Selection in Random Subspaces,
ICPR06(IV: 185-188).
WWW Version.
0609Fusion function; Combining classifiers; Confusion matrix;
Pattern recognition; Majority voting; Ensemble of learning machines
BibRef
Ko, A.H.R.[Albert Hung-Ren],
Sabourin, Jr., R.[Robert],
de Souza Britto, A.[Alceu],
From dynamic classifier selection to dynamic ensemble selection,
PR(41), No. 5, May 2008, pp. 1735-1748.
WWW Version.
0711
BibRef
Earlier:
K-Nearest Oracle for Dynamic Ensemble Selection,
ICDAR07(422-426).
WWW Version.
0709Oracle; Combining classifiers; Classifier selection; Ensemble selection;
Pattern recognition; Majority voting; Ensemble of learning machines
BibRef
Hu, Q.[Qinghua],
Yu, D.[Daren],
Xie, Z.[Zongxia],
Li, X.D.[Xiao-Dong],
EROS: Ensemble rough subspaces,
PR(40), No. 12, December 2007, pp. 3728-3739.
WWW Version.
0709Ensemble systems initially improve performance as more added,
the decrease.
Attribute reduction; Ensemble learning; Multiple classifier system;
Rough set; Selective ensemble
BibRef
Jarillo, G.[Gabriel],
Pedrycz, W.[Witold],
Reformat, M.[Marek],
Aggregation of classifiers based on image transformations in biometric
face recognition,
MVA(19), No. 2, March 2008, pp. 125-140.
WWW Version.
0802
BibRef
Kim, Y.W.[Young-Won],
Oh, I.S.[Il-Seok],
Classifier ensemble selection using hybrid genetic algorithms,
PRL(29), No. 6, 15 April 2008, pp. 796-802.
WWW Version.
0803Multiple classifier combination; Ensemble selection; Genetic algorithm;
Local search operation
See also Local search-embedded genetic algorithms for feature selection.
BibRef
Bogdanov, A.V.,
Neuroinspired Architecture for Robust Classifier Fusion of Multisensor
Imagery,
GeoRS(46), No. 5, May 2008, pp. 1467-1487.
WWW Version.
0804
BibRef
Kankanala, L.[Laxmi],
Murty, M.N.[M. Narasimha],
Hybrid Approaches for Clustering,
PReMI07(25-32).
WWW Version.
0712
BibRef
Ñanculef, R.[Ricardo],
Valle, C.[Carlos],
Allende, H.[Héctor],
Moraga, C.[Claudio],
Bagging with Asymmetric Costs for Misclassified and Correctly
Classified Examples,
CIARP07(694-703).
WWW Version.
0711
BibRef
Marin-Castro, H.[Heidy],
Sucar, E.[Enrique],
Morales, E.[Eduardo],
Automatic Image Annotation Using a Semi-supervised Ensemble of
Classifiers,
CIARP07(487-495).
WWW Version.
0711
BibRef
Kyrgyzov, I.O.[Ivan O.],
Maitre, H.[Henri],
Campedel, M.[Marine],
A Method of Clustering Combination Applied to Satellite Image Analysis,
CIAP07(81-86).
WWW Version.
0709
BibRef
Molinara, M.,
Ricamato, M.T.,
Tortorella, F.,
Facing Imbalanced Classes through Aggregation of Classifiers,
CIAP07(43-48).
WWW Version.
0709
BibRef
Dimililer, N.[Nazife],
Varoglu, E.[Ekrem],
Altonçay, H.[Hakan],
Vote-Based Classifier Selection for Biomedical NER Using Genetic
Algorithms,
IbPRIA07(II: 202-209).
WWW Version.
0706
BibRef
Valdovinos, R.M.,
Sánchez, J.S.,
Gasca, E.,
Influence of Resampling and Weighting on Diversity and Accuracy of
Classifier Ensembles,
IbPRIA07(II: 250-257).
WWW Version.
0706
BibRef
Valdovinos, R.M.,
Sánchez, J.S.,
Performance Analysis of Classifier Ensembles:
Neural Networks Versus Nearest Neighbor Rule,
IbPRIA07(I: 105-112).
WWW Version.
0706
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Mazón, J.N.[Jose-Norberto],
Micó, L.[Luisa],
Moreno-Seco, F.[Francisco],
New Neighborhood Based Classification Rules for Metric Spaces and Their
Use in Ensemble Classification,
IbPRIA07(I: 354-361).
WWW Version.
0706
BibRef
Serratosa, F.[Francesc],
Gómez, N.A.[Nicolás Amézquita],
Alquézar, R.[René],
Combining Neural Networks and Clustering Techniques for Object
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CIARP06(399-405).
WWW Version.
0611
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Chen, H.[Haixia],
Yuan, S.[Senmiao],
Jiang, K.[Kai],
Adaptive Classifier Selection Based on Two Level Hypothesis Tests for
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SSPR06(687-695).
WWW Version.
0608
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Raudys, S.J.[Sarunas J.],
Generalization Error of Multinomial Classifier,
SSPR06(502-511).
WWW Version.
0608
BibRef
Raudys, S.J.[Sarunas J.],
Denisov, V.[Vitalij],
Bielskis, A.A.[Antanas Andrius],
A Pool of Classifiers by SLP: A Multi-class Case,
ICIAR06(II: 47-56).
WWW Version.
0610
BibRef
Andra, S.[Srinivas],
Nagy, G.[George],
Combining Dichotomizers for MAP Field Classification,
ICPR06(IV: 210-214).
WWW Version.
0609
BibRef
Cheng, H.T.[Hsien-Ting],
Chen, C.S.[Chu-Song],
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ICPR06(III: 429-432).
WWW Version.
0609Asymmetric Bagging with Vector Complementary Ordering.
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WWW Version.
0609
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Lefaucheur, P.[Patrice],
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ICPR06(IV: 136-139).
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Ekbal, A.[Asif],
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ICPR06(II: 695-698).
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ICPR06(III: 1240-1243).
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0609
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0609
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Bauckhage, C.[Christian],
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CVPR06(I: 95-102).
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0606
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WWW Version.
0509
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CAIP05(347).
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0602
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0601
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0505
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Beattie, M.[Michael],
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AVBPA05(406).
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0509
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ICPR04(II: 863-866).
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0409
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Reiter, S.,
Rigoll, G.,
Segmentation and classification of meeting events using multiple
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ICPR04(III: 434-437).
WWW Version.
0409
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Jaeger, S.,
Informational classifier fusion,
ICPR04(I: 216-219).
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0409
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ICPR04(I: 184-187).
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0409
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Windeatt, T.,
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ICPR04(III: 454-457).
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0409
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Dmitry, V.,
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Doermann, D.,
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systems,
ICDAR05(II: 1194-1198).
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0508
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Product Approximation by Minimizing the Upper Bound of Bayes Error Rate
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ICPR04(I: 252-255).
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Earlier:
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CAIP03(487-493).
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0311
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An adaptive weighted majority vote rule for combining multiple
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WWW Version.
0211
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Soto, A.,
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Ph.D.Thesis
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0306
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Kittler, J.V.[Josef V.],
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ECCV04(Vol IV: 342-353).
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0405
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Ahmadyfard, A.R.[Alireza R.],
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Recognition,
CVS03(438 ff).
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0306
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Sirlantzis, K.,
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ICPR02(II: 771-774).
WWW Version.
0211
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Sirlantzis, K.,
Fairhurst, M.C.,
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ICIP01(I: 1094-1097).
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And:
Investigation of a novel self-configurable multiple classifier system
for character recognition,
ICDAR01(1002-1006).
WWW Version.
0109
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Tax, D.M.J.,
Duin, R.P.W.,
Using two-class classifiers for multiclass classification,
ICPR02(II: 124-127).
WWW Version.
0211
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Earlier:
Data Description in Subspaces,
ICPR00(Vol II: 672-675).
WWW Version.
HTML Version.
0009
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Skurichina, M.,
Ypma, A.,
Duin, R.P.W.,
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0009
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Jeong, S.H.,
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Nam, Y.S.,
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Iwayama, N.,
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Mahamud, S.[Shyjan],
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ECCV02(III: 776 ff.).
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0205
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Chawla, N.[Nitesh],
Moore, Jr., T.E.[Thomas E.],
Bowyer, K.W.[Kevin W.],
Hall, L.O.[Lawrence O.],
Springer, C.[Clayton], and
Kegelmeyer, P.[Philip],
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CVPR01(II:684-689).
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use bagging.
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WWW Version.
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Baek, K.[Kyungim],
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CVPR98(144-149).
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Mascarilla, L.,
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ICPR00(Vol II: 156-159).
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DeCarlo, D.[Douglas],
Metaxas, D.[Dimitris],
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CVPR99(II: 132-138).
IEEE Abstract. IEEE Top Reference.
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9900
Kang, H.J.,
Kim, J.H.,
A Probabilistic Framework for Combining Multiple Classifiers at
Abstract Level,
ICDAR97(We-1B)
9708
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Prevost, L.,
Milgram, M.,
Static and Dynamic Classifier Fusion for Character Recognition,
ICDAR97(Poste)
9708
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Franke, J.,
Mandler, E.,
A comparison of two approaches for combining the votes of cooperating
classifiers,
ICPR92(II:611-614).
WWW Version.
9208
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Wong, G.,
Frei, H.P.,
Object recognition: the utopian method is dead; the time for combining
simple methods has come,
ICPR92(III:185-188).
WWW Version.
9208
BibRef
Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Hierarchical Combination, Multi-Stage Classifiers .