14.1.5.2 Multiple Classifiers, Combining Classifiers, Combinations

Takiyama, R.[Ryuzo],
A general method for training the committee machine,
PR(10), No. 4, 1978, pp. 255-259.
WWW Version. 0309 BibRef

Takiyama, R.[Ryuzo],
A two-level committee machine: a representation and a learning procedure for general piecewise linear discriminant functions,
PR(13), No. 3, 1981, pp. 269-274.
WWW Version. 0309 BibRef

Takiyama, R.[Ryuzo],
A committee machine with a set of networks composed of two single-threshold elements as committee members,
PR(15), No. 5, 1982, pp. 405-412.
WWW Version. 0309 BibRef

Zaki, F.W., Abd el-Fattah, A.I., Enab, Y.M., el-Konyaly, S.H.,
An ensemble average classifier for pattern recognition machines,
PR(21), No. 4, 1988, pp. 327-332.
WWW Version. 0309 BibRef

Chen, C.C.[Chaur-Chin], Dubes, R.C.[Richard C.], Jain, A.K.[Anil K.],
Comments on 'An ensemble average classifier for pattern recognition machines',
PR(23), No. 6, 1990, pp. 669.
WWW Version. 0401 BibRef

Mandler, E., Schurmann, J.,
Combining the Classification Results of Independent Classifiers Based on the Dempster-Shafer Theory of Evidence,
PRAI-88(381-393). See also Mathematical Theory of Evidence, A. BibRef 8800

Lumelsky, V.J.[Vladimir J.],
A combined algorithm for weighting the variables and clustering in the clustering problem,
PR(15), No. 2, 1982, pp. 53-60.
WWW Version. 0309 BibRef

Mazurov, V.D., Krivonogov, A.I., Kazantsev, V.S.,
Solving of optimization and identification problems by the committee methods,
PR(20), No. 4, 1987, pp. 371-378.
WWW Version. 0309 BibRef

Lu, Y., Yamaoka, F.,
Fuzzy Integration of Classification Results,
PR(30), No. 11, November 1997, pp. 1877-1891.
WWW Version. 9801Integrating classification results in a multiple classifier system using fuzzy reasoning. BibRef

Skurichina, M., Duin, R.P.W.,
Bagging for Linear Classifiers,
PR(31), No. 7, July 1998, pp. 909-930.
WWW Version. 9807 BibRef
Earlier:
Stabilizing Classifiers for Very Small Sample Sizes,
ICPR96(II: 891-896).
WWW Version. 9608(TU Delft, NL) BibRef

Kuncheva, L.I.[Ludmila I.], Bezdek, J.C.[James C.], Duin, R.P.W.[Robert P.W.],
Decision templates for multiple classifier fusion: An Experimental Comparison,
PR(34), No. 2, February 2001, pp. 299-314.
WWW Version. 0011 BibRef

Windeatt, T.[Terry],
Vote counting measures for ensemble classifiers,
PR(36), No. 12, December 2003, pp. 2743-2756.
WWW Version. 0310 BibRef

Windridge, D.[David], Kittler, J.V.[Josef V.],
A Morphologically Optimal Strategy for Classifier Combinaton: Multiple Expert Fusion as a Tomographic Process,
PAMI(25), No. 3, March 2003, pp. 343-353.
IEEE Abstract. IEEE Top Reference.
WWW Version. 0301Interpret combination as th eimplicit reconstruction of the composite probability density function. BibRef

Ji, C.Y., Ma, S.,
Combinations of Weak Classifiers,
TNN(8), No. 1, January 1997, pp. 32-42. 9701 BibRef

Woods, K.[Kevin], Kegelmeyer, W.P.[W. Philip], Bowyer, K.W.[Kevin W.],
Combination of Multiple Classifiers Using Local Accuracy Estimates,
PAMI(19), No. 4, April 1997, pp. 405-410.
IEEE Abstract. IEEE Top Reference.
WWW Version. 9705 BibRef
Earlier: CVPR96(391-396).
IEEE Abstract. IEEE Top Reference.
WWW Version. Combine classifiers using each individual classifier's accuracy in the region of feature space around the test sample. Includes pointers to the test data. BibRef

Kang, H.J., Kim, K., Kim, J.H.,
Optimal Approximation of Discrete Probability Distribution with Kth-Order Dependency and Its Application to Combining Multiple Classifiers,
PRL(18), No. 6, June 1997, pp. 515-523. 9710 BibRef

Bollacker, K.D., Ghosh, J.,
Knowledge Reuse in Multiple Classifier Systems,
PRL(18), No. 11-13, November 1997, pp. 1385-1390. 9806 BibRef

Tumer, K., Ghosh, J.,
Estimating the Bayes Error Rate Through Classifier Combining,
ICPR96(II: 695-699).
WWW Version. 9608(Univ. of Texas, Austin, USA) BibRef

Shen, Q.[Qiang], Chouchoulas, A.[Alexios],
Combining rough sets and data-driven fuzzy learning for generation of classification rules,
PR(32), No. 12, December 1999, pp. 2073-2076.
WWW Version. BibRef 9912

Fujino, A.[Akinori], Ueda, N.[Naonori], Saito, K.[Kazumi],
Semisupervised Learning for a Hybrid Generative/Discriminative Classifier based on the Maximum Entropy Principle,
PAMI(30), No. 3, March 2008, pp. 424-437.
WWW Version. 0801Classifier design. BibRef

Ueda, N.[Naonori],
Optimal Linear Combination of Neural Networks for Improving Classification Performance,
PAMI(22), No. 2, February 2000, pp. 207-215.
IEEE Abstract. IEEE Top Reference.
WWW Version. 0003Linearly combined. Minimum classifier error used to estimate weights. BibRef

Dietterich, T.,
Random Forests,
MachLearn(40), No. 2, 2000, pp. 139-157. BibRef 0001

Kleinberg, E.M.[Eugene M.],
On the Algorithmic Implementation of Stochastic Discrimination,
PAMI(22), No. 5, May 2000, pp. 473-490.
IEEE Abstract. IEEE Top Reference.
WWW Version. 0008Construct appropriate classifiers. Combine an arbitrary number of weak components BibRef

Saranli, A.[Afar], Demirekler, M.[Mübeccel],
A statistical unified framework for rank-based multiple classifier decision combination,
PR(34), No. 4, April 2001, pp. 865-884.
WWW Version. 0101 BibRef
Earlier:
A Unified View of Rank-based Decision Combination,
ICPR00(Vol II: 479-482).
WWW Version.
HTML Version. 0009 BibRef

Saranli, A.[Afar], Demirekler, M.[Mübeccel],
On output independence and complementariness in rank-based multiple classifier decision systems,
PR(34), No. 12, December 2001, pp. 2319-2330.
WWW Version. 0110It is shown that output independence of classifiers is not a requirement for achieving complementariness between these classifiers. BibRef

Altinçay, H.[Hakan], Demirekler, M.[Mübeccel],
Undesirable effects of output normalization in multiple classifier systems,
PRL(24), No. 9-10, June 2003, pp. 1163-1170.
WWW Version. 0304 BibRef
Earlier:
Why does output normalization create problems in multiple classifier systems?,
ICPR02(II: 775-778).
WWW Version. 0211 BibRef

Sasikala, K.R., Petrou, M.,
Properties of the generalised fuzzy aggregation operators,
PRL(22), No. 1, January 2001, pp. 15-24.
HTML Version. 0105 BibRef
Earlier: A2, A1:
On the Relationship between Neural Networks and Fuzzy Reasoning,
ICPR96(IV: 239-243).
WWW Version. 9608(Univ. of Surrey, UK) BibRef

Chen, D.[Dechang], Cheng, X.Z.[Xiu-Zhen],
An asymptotic analysis of some expert fusion methods,
PRL(22), No. 8, June 2001, pp. 901-904.
HTML Version. 0105 BibRef

Parikh, C.R.[Chinmay R.], Pont, M.J.[Michael J.], Jones, N.B.[N. Barrie],
Application of Dempster-Shafer Theory in Condition Monitoring Applications: A Case Study,
PRL(22), No. 6-7, May 2001, pp. 777-785.
HTML Version. 0105 See also Mathematical Theory of Evidence, A. BibRef

Luo, Y., Chambers, J.A., Lambotharan, S.,
Global convergence and mixing parameter selection in the cross-correlation constant modulus algorithm for the multi-user environment,
VISP(148), No. 1 , February 2001, pp. 9-20. 0105 BibRef

Valev, V.[Ventzeslav], Asaithambi, A.[Asai],
Multidimensional pattern recognition problems and combining classifiers,
PRL(22), No. 12, October 2001, pp. 1291-1297.
HTML Version. 0108 BibRef

Valev, V.[Ventzeslav],
Supervised pattern recognition by parallel feature partitioning,
PR(37), No. 3, March 2004, pp. 463-467.
WWW Version. 0401Partition the feature space to a minimal number of nonintersecting regions. Achieved by solving an integer-valued optimization problem. BibRef

Kupinski, M.A., Anastasio, M.A.,
Multiobjective genetic optimization of diagnostic classifiers with implications for generating receiver operating characteristic curves,
MedImg(18), No. 8, August 1999, pp. 675-685.
IEEE Top Reference. 0110 BibRef

Petrakos, M., Benediktsson, J.A., Kanellopoulos, I.,
The effect of classifier agreement on the accuracy of the combined classifier in decision level fusion,
GeoRS(39), No. 11, November 2001, pp. 2539-2546.
IEEE Top Reference. 0111 BibRef
And: Correction: GeoRS(40), No. 1, January 2002, pp. 228-228.
IEEE Top Reference. 0203 BibRef

Briem, G.J., Benediktsson, J.A., Sveinsson, J.R.,
Multiple classifiers applied to multisource remote sensing data,
GeoRS(40), No. 10, October 2002, pp. 2291-2299.
IEEE Top Reference. 0301 BibRef

Benediktsson, J.A., Sveinsson, J.R.,
Multisource remote sensing data classification based on consensus and pruning,
GeoRS(41), No. 4, April 2003, pp. 932-936.
IEEE Abstract. IEEE Top Reference. 0307 BibRef

Waske, B., Benediktsson, J.A.,
Fusion of Support Vector Machines for Classification of Multisensor Data,
GeoRS(45), No. 12, December 2007, pp. 3858-3866.
WWW Version. 0711 BibRef

Demrekler, M.[Mübeccel], Altnçay, H.[Hakan],
Plurality Voting-Based Multiple Classifier Systems: Statistically Independent with Respect to Dependent Classifier Sets,
PR(35), No. 11, November 2002, pp. 2365-2379.
WWW Version. 0208 BibRef

Altnçay, H.[Hakan],
On naive Bayesian fusion of dependent classifiers,
PRL(26), No. 15, November 2005, pp. 2463-2473.
WWW Version. 0510 BibRef

Hothorn, T.[Torsten], Lausen, B.[Berthold],
Double-bagging: combining classifiers by bootstrap aggregation,
PR(36), No. 6, June 2003, pp. 1303-1309.
WWW Version. 0304 BibRef

Bovino, L., Dimauro, G., Impedovo, S., Lucchese, M.G., Modugno, R., Pirlo, G., Salzo, A., Sarcinella, L.,
On the combination of abstract-level classifiers,
IJDAR(6), No. 1, 2003, pp. 42-54.
HTML Version. 0308 BibRef

Bovino, L., Dimauro, G., Impedovo, S., Pirlo, G., Salzo, A.,
Increasing the Number of Classifiers in Multi-classifier Systems: A Complementarity-Based Analysis,
DAS02(145 ff.).
HTML Version. 0303 BibRef

Dimauro, G., Impedovo, S., Lucchese, M.G., Pirlo, G., Salzo, A.,
Discovering Rules for Dynamic Configuration of Multi-classifier Systems,
DAS02(157 ff.).
HTML Version. 0303 BibRef

di Lecce, V., Dimauro, G., Guerriero, A., Impedovo, S., Pirlo, G., Salzo, A.,
Knowledge-based methods for classifier combination: An experimental investigation,
CIAP99(562-565).
WWW Version. 9909 BibRef

Raudys, S.J.[Sarunas J.],
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 fusion rules use the same data. 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.,
A credit assignment approach to fusing classifiers of multiseason hyperspectral imagery,
GeoRS(41), No. 11, November 2003, pp. 2488-2499.
IEEE Abstract. IEEE Top Reference. 0311 BibRef

He, C.[Chao], Girolami, M.[Mark], Ross, G.[Gary],
Employing optimized combinations of one-class classifiers for automated currency validation,
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 Segmentation Using Expectation-Maximization Parameter Estimation,
MedImg(23), No. 8, August 2004, pp. 983-994.
IEEE Abstract. IEEE Top Reference. 0409Estimate performance of individual classifiers and combine. BibRef

Rohlfing, T.[Torsten], 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

Sohn, S.Y., 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

Singh, S.[Sameer], Singh, M.[Maneesha],
A dynamic classifier selection and combination approach to image region labelling,
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 classifier selection,
PRL(26), No. 6, 1 May 2005, pp. 829-842.
WWW Version. 0501 BibRef

Neumann, J.[Julia], Schnörr, C.[Christoph], Steidl, G.[Gabriele],
Efficient wavelet adaptation for hybrid wavelet-large margin classifiers,
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,
ICDAR03(26-30).
IEEE Abstract. IEEE Top Reference. 0311 BibRef

Demir, C.[Cigdem], Alpaydin, E.[Ethem],
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], Lumini, A.[Alessandra],
FuzzyBagging: A novel ensemble of classifiers,
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 biological data,
PRL(28), No. 5, 1 April 2007, pp. 622-630.
WWW Version. 0703Ensemble of classifiers; Machine learning; Bioinformatics BibRef

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.,
Class-confidence critic combining,
FHR02(201-206).
IEEE Top Reference. 0209 BibRef

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 BibRef

García-Pedrajas, N.[Nicolás], Ortiz-Boyer, D.[Domingo],
A cooperative constructive method for neural networks for pattern recognition,
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 BibRef

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 Recognition in Indoor Video Sequences,
CIARP06(399-405).
WWW Version. 0611 BibRef

Chen, H.[Haixia], Yuan, S.[Senmiao], Jiang, K.[Kai],
Adaptive Classifier Selection Based on Two Level Hypothesis Tests for Incremental Learning,
SSPR06(687-695).
WWW Version. 0608 BibRef

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],
A Complementary Ordering Method for Class Imbalanced Problem,
ICPR06(III: 429-432).
WWW Version. 0609Asymmetric Bagging with Vector Complementary Ordering. Apply to biometrics. BibRef

Viswanath, P., Jayasurya, K.[Karthik],
A Fast and Efficient Ensemble Clustering Method,
ICPR06(II: 720-723).
WWW Version. 0609 BibRef

Lefaucheur, P.[Patrice], Nock, R.[Richard],
Robust Multiclass Ensemble Classifiers via Symmetric Functions,
ICPR06(IV: 136-139).
WWW Version. 0609 BibRef

Ekbal, A.[Asif],
Improvement of Prediction Accuracy Using Discretization and Voting Classifier,
ICPR06(II: 695-698).
WWW Version. 0609 BibRef

Bauckhage, C.[Christian], Kaster, T.[Thomas],
Benefits of Separable, Multilinear Discriminant Classification,
ICPR06(III: 1240-1243).
WWW Version. 0609 BibRef
And: ICPR06(IV: 959).
WWW Version. 0609 BibRef

Bauckhage, C.[Christian], Kaster, T.[Thomas], Tsotsos, J.K.[John K.],
Applying Ensembles of Multilinear Classifiers in the Frequency Domain,
CVPR06(I: 95-102).
WWW Version. 0606 BibRef

Bauckhage, C.[Christian], Tsotsos, J.K.[John K.],
Separable Linear Discriminant Classification,
DAGM05(318).
WWW Version. 0509 BibRef
And:
Separable Linear Classifiers for Online Learning in Appearance Based Object Detection,
CAIP05(347).
WWW Version. 0509 BibRef

Kim, M.[Minyoung], Pavlovic, V.[Vladimir],
Discriminative Learning of Mixture of Bayesian Network Classifiers for Sequence Classification,
CVPR06(I: 268-275).
WWW Version. 0606 BibRef

Chellapilla, K.[Kumar], Shilman, M.[Michael], Simard, P.Y.[Patrice Y.],
Combining Multiple Classifiers for Faster Optical Character Recognition,
DAS06(358-367).
WWW Version. 0602 BibRef

Singh, R.[Rohit], Samal, S.[Sandeep], Lahiri, T.[Tapobrata],
A Novel Strategy for Designing Efficient Multiple Classifier,
ICB06(713-720).
WWW Version. 0601 BibRef

Carneiro, G.[Gustavo], Vasconcelos, N.[Nuno],
Minimum Bayes Error Features for Visual Recognition by Sequential Feature Selection and Extraction,
CRV05(253-260).
WWW Version. 0505 BibRef

Valdovinos, R.M.[Rosa M.], Salvador-Sánchez, J., Barandela, R.[Ricardo],
Dynamic and Static Weighting in Classifier Fusion,
IbPRIA05(II:59).
WWW Version. 0509 BibRef

Beattie, M.[Michael], Vijaya Kumar, B.V.K., Lucey, S.[Simon], Tonguz, O.K.[Ozan K.],
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Kang, H.J.[Hee-Joong], Doermann, D.,
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Product Approximation by Minimizing the Upper Bound of Bayes Error Rate for Bayesian Combination of Classifiers,
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Evaluation of the information-theoretic construction of multiple classifier systems,
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ICDAR03(809-813).
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Exploiting reliability for dynamic selection of classifiers by means of genetic algorithms,
ICDAR03(671-675).
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An adaptive weighted majority vote rule for combining multiple classifiers,
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Soto, A.,
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ICIP01(I: 1094-1097).
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Kang, H.J., Kim, J.H.,
A Probabilistic Framework for Combining Multiple Classifiers at Abstract Level,
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Prevost, L., Milgram, M.,
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Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Hierarchical Combination, Multi-Stage Classifiers .