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480 LITERATURVERZEICHNIS<br />

gnition, 39:351–362, 2006.<br />

[Xu et al., 1992] Xu, L., Krzyzak, A., Suen, C.Y. Methods for combining multiple classifiers and their<br />

applications to handwriting recognition. IEEE Trans. on Systems, Man, and Cybernetics, 22:418–<br />

435, 1992.<br />

[Yakowitz, 1970] Yakowitz, S.J. Unsupervised learning and the identification of finite mixtures. IEEE<br />

Trans. on Information Theory, 16:330–338, 1970.<br />

[Yakowitz und Spragins, 1968] Yakowitz, S.J., Spragins, J. On the identifiability of finite mixtures. Annals<br />

of Mathematical Statistics, 39:209–214, 1968.<br />

[Yamamoto, 1979] Yamamoto, H. A method of deriving compatibility coefficients for relaxation operators.<br />

Computer Graphics and Image Processing, 10:256–271, 1979.<br />

[Yamany und Farag, 2002] Yamany, S.M., Farag, A.A. Surface signatures: An orientation independent<br />

free-form surface representation scheme for the purpose of objects registration and matching.<br />

IEEE Trans. on Pattern Analysis and Machine Intelligence, 24:1105–1120, 2002.<br />

[Yang und Wu, 2004] Yang, M.-S., Wu, K.-L. A similarity-based robust clustering method. IEEE Trans.<br />

on Pattern Analysis and Machine Intelligence, 26:434–448, 2004.<br />

[Yang und Liu, 2002a] Yang, X., Liu, J. Maximum entropy random fields for texture analysis. Pattern<br />

Recognition Letters, 23:93–101, 2002a.<br />

[Yang und Liu, 2002b] Yang, X., Liu, J. Mixture density estimation with group membership functions.<br />

Pattern Recognition Letters, 23:501–512, 2002b.<br />

[Yang und Zwolinski, 2001] Yang, Z.R., Zwolinski, M. Mutual information theory for adaptive mixture<br />

models. IEEE Trans. on Pattern Analysis and Machine Intelligence, 23:396–403, 2001.<br />

[Yeung und Wang, 2002] Yeung, D.S., Wang, X.Z. Improving performance of similarity based clustering<br />

by feature weight learning. IEEE Trans. on Pattern Analysis and Machine Intelligence,<br />

24:556–561, 2002.<br />

[Yin, 2002] Yin, H. ViSOM - A novel method for multivariate data projection and structure visualization.<br />

IEEE Trans. on Neural Networks, 13:237–243, 2002.<br />

[Z. et al., 2003] Z., Zhang., Chen, C., Sun, J., Chan, K.L. EM algorithm for Gaussian mixtures with<br />

split-and-merge operation. Pattern Recognition, 36:1973–1983, 2003.<br />

[Zadeh, 1965] Zadeh, L.A. Fuzzy sets. Information and Control, 8:338–353, 1965.<br />

[Zadeh, 1988] Zadeh, L.A. Fuzzy logic. IEEE Computer, 21(4):83–93, 1988.<br />

[Zadeh et al., 1975] Zadeh, L.A., Fu, K.S., Tanaka, K., Shimura, M., Hg. Fuzzy Sets and Their Application<br />

to Cognitive and Decision Processes. Academic Press, New York, 1975.<br />

[Zahn, 1971] Zahn, C.T. Graph-theoretical methods for detecting and describing gestalt clusters. IEEE<br />

Trans. on Computers, 20:68–86, 1971.<br />

[Zell, 1994] Zell, A. Simulation Neuronaler Netze. Addison-Wesley (Deutschland) GmbH, Bonn, 1994.<br />

[Zhang et al., 2004] Zhang, B., Zhang, C., Yi, X. Competitive EM algorithm for finite mixture models.<br />

Pattern Recognition, 37:131–144, 2004.<br />

[Zhang et al., 2006] Zhang, D., Chen, S., Zhou, Z.-H. Learning the kernel parameters of kernel minimum<br />

distance classifier. Pattern Recognition, 39:133–135, 2006.<br />

[Zhang und Benveniste, 1992] Zhang, Q., Benveniste, A. Wavelet networks. IEEE Trans. on Neural<br />

Networks, 3:889–898, 1992.<br />

[Zhu und Hastie, 2005] Zhu, J., Hastie, T. Kernel logistic regression and the import vector machine.<br />

Journal of Computational and Graphical Statistics, 14(1):185–205, 2005.<br />

[Zhu, 2003] Zhu, S.C. Statistical modeling and conceptualization of visual patterns. IEEE Trans. on<br />

Pattern Analysis and Machine Intelligence, 25:691–712, 2003.<br />

[Zhu et al., 2000] Zhu, S.C., Liu, X.W., Wu, Y.N. Exploring texture ensembles by efficient Markov<br />

chain Monte Carlo – toward a “trichromacy” theory of texture. IEEE Trans. on Pattern Analysis<br />

and Machine Intelligence, 22:554–569, 2000.<br />

[Zhu et al., 1997] Zhu, S.C., Wu, Y.N., Mumford, D.B. Minimax entropy principle and its application<br />

to texture modeling. Neural Computation, 9:1627–1660, 1997.

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