Klassifikation von Mustern

478 LITERATURVERZEICHNIS
fiers by averaging or by multiplying? Pattern Recognition, 33:1475–1485, 2000.
[Teicher, 1961] Teicher, H. Identifiability of mixtures. Annals of Mathematical Statistics, 32:244–248,
1961.
[Teicher, 1963] Teicher, H. Identifiability of finite mixtures. Annals of Mathematical Statistics,
34:1265–1269, 1963.
[Therrien, 1989] Therrien, C.W. Decision, Estimation, and Classification. J. Wiley, New York, 1989.
[Tibshirani, 1996] Tibshirani, R. Regression shrinkage and selection via the LASSO. J. Royal Statistical
Society, B 58(1):267–288, 1996.
[Tipping, 2000] Tipping, M.E. The relevance vector machine. In S. Solla, T. Leen, K.-R. Müller, Hg.,
Proc. Advances in Neural Information Processing Systems 12, S. 652–658. MIT Press, Cambridge,
MA, USA, 2000.
[Tipping, 2001] Tipping, M.E. Sparse Bayesian learning and the relevance vector machine. J. of Machine
Learning Research, 1:211–244, 2001.
[Titsias und Likas, 2001] Titsias, M.K., Likas, A.C. Shared kernel models for class conditional density
estimation. IEEE Trans. on Neural Networks, 12(5):987–997, 2001.
[Titsias und Likas, 2003] Titsias, M.K., Likas, A.C. Class conditional density estimation using mixtures
with constrained component sharing. IEEE Trans. on Pattern Analysis and Machine Intelligence,
25:924–928, 2003.
[Todd, 1962] Todd, J. Survey of Numerical Analysis. McGraw Hill, New York, 1962.
[Tomek, 1976] Tomek, I. Two modifications of cnn. IEEE Trans. on Systems, Man, and Cybernetics,
6:769–772, 1976.
[Toussaint, 1978] Toussaint, G. T. The use of context in pattern recognition. Pattern Recognition,
10:189–204, 1978.
[Toussaint, 1974] Toussaint, G.T. Bibliography on estimation of misclassification. IEEE Trans. on
Information Theory, 20:472–479, 1974.
[Toussaint und Donaldson, 1970] Toussaint, G.T., Donaldson, R.W. Algorithms for recognizing
contour-traced handprinted characters. IEEE Trans. on Computers, 19:541–546, 1970.
[Trazegnies et al., 2003] Trazegnies, C.de, Urdiales, C., Bandera, A., Sandoval, F. 3D object recognition
based on curvature information of planar views. Pattern Recognition, 36:2571–2584, 2003.
[Tryon und Bailey, 1970] Tryon, R.C., Bailey, D.E. Cluster Analysis. McGraw Hill, New York, 1970.
[Tsypkin, 1973] Tsypkin, Y.Z. Foundations of the Theory of Learning Systems. Academic Press, New
York, 1973.
[Ueda et al., 2000] Ueda, N., Nakano, R., Gharahmani, Y.Z., Hinton, G.E. SMEM algorithm for mixture
models. Neural Computation, 12:2109–2128, 2000.
[Ulrich et al., 2003] Ulrich, M., Steger, C., Baumgartner, A. Real-time object recognition using a modified
generalized Hough transform. Pattern Recognition, 36:2557–2570, 2003.
[Valiant, 1984] Valiant, L.G. A theory of the learnable. Comm. Association for Computing Machinery,
27:1134–1142, 1984.
[Van Campenhout, 1978] Van Campenhout, J.M. On the peaking of the Hughes mean recognition accuracy;
the resolution of an apparent paradox. IEEE Trans. on Systems, Man, and Cybernetics,
8:390–395, 1978.
[Van Campenhout und Cover, 1981] Van Campenhout, J.M., Cover, T.M. Maximum entropy and conditional
probability. IEEE Trans. on Information Theory, 27:483–489, 1981.
[Vanderheydt et al., 1980] Vanderheydt, L., Oosterlink, A., van Daele, J., Van Den Berghe, H. Design
of a graph-representation and a fuzzy-classifier for human chromosomes. Pattern Recognition,
12:201–210, 1980.
[VanTrees, 1968] VanTrees, H.L. Detection, Estimation, and Modulation Theory. J. Wiley, New York,
1968.
[Vapnik, 1995] Vapnik, V.N. The Nature of Statistical Learning Theory. Springer, New York, 1995.
[Vapnik, 1998] Vapnik, V.N. Statistical Learning Theory. J. Wiley, New York, 1998.