Plurality voting-based multiple classifier systems: statistically independent with respect to dependent classifier sets

[1]  Mübeccel Demirekler,et al.  A statistical unified framework for rank-based multiple classifier decision combination , 2001, Pattern Recognit..

[2]  Robert P. W. Duin,et al.  Is independence good for combining classifiers? , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

[3]  Eugene M. Kleinberg,et al.  On the Algorithmic Implementation of Stochastic Discrimination , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[4]  Mübeccel Demirekler,et al.  An information theoretic framework for weight estimation in the combination of probabilistic classifiers for speaker identification , 2000, Speech Commun..

[5]  B. V. K. Vijaya Kumar,et al.  Unified decision combination framework , 1998, Pattern Recognit..

[6]  Ke Chen,et al.  A method of combining multiple probabilistic classifiers through soft competition on different feature sets , 1998, Neurocomputing.

[7]  Tin Kam Ho,et al.  The Random Subspace Method for Constructing Decision Forests , 1998, IEEE Trans. Pattern Anal. Mach. Intell..

[8]  Ching Y. Suen,et al.  Application of majority voting to pattern recognition: an analysis of its behavior and performance , 1997, IEEE Trans. Syst. Man Cybern. Part A.

[9]  Tin Kam Ho,et al.  Building projectable classifiers of arbitrary complexity , 1996, Proceedings of 13th International Conference on Pattern Recognition.

[10]  Josef Kittler,et al.  Combining classifiers , 1996, Proceedings of 13th International Conference on Pattern Recognition.

[11]  Kevin W. Bowyer,et al.  Combination of multiple classifiers using local accuracy estimates , 1996, Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[12]  Chuanyi Ji,et al.  Combinations of Weak Classifiers , 1996, NIPS.

[13]  Robert A. Jacobs,et al.  Methods For Combining Experts' Probability Assessments , 1995, Neural Computation.

[14]  Ching Y. Suen,et al.  Optimal combinations of pattern classifiers , 1995, Pattern Recognit. Lett..

[15]  Isabelle Bloch,et al.  Information combination operators for data fusion: a comparative review with classification , 1994, Remote Sensing.

[16]  Galina L. Rogova,et al.  Combining the results of several neural network classifiers , 1994, Neural Networks.

[17]  Roberto Battiti,et al.  Democracy in neural nets: Voting schemes for classification , 1994, Neural Networks.

[18]  Sargur N. Srihari,et al.  Decision Combination in Multiple Classifier Systems , 1994, IEEE Trans. Pattern Anal. Mach. Intell..

[19]  Lars Kai Hansen,et al.  Neural Network Ensembles , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

[20]  E. Polak.  Introduction to linear and nonlinear programming , 1973 .