Klassifikation von Mustern

474 LITERATURVERZEICHNIS
[Rauber et al., 2002] Rauber, A., Merkl, D., Dittenbach, M. The growing hierarchical self-organizing
map: Exploratory analysis of high-dimensional data. IEEE Trans. on Neural Networks, 13:1331–
1341, 2002.
[Raudys, 1991] Raudys, S. On the effectiveness of Parzen window classifier. Informatica, 2(3):434–454,
1991.
[Raudys und Jain, 1991] Raudys, S., Jain, A.K. Small sample size effects in statistical pattern recognition:
Recommendations for practitioners. IEEE Trans. on Pattern Analysis and Machine Intelligence,
13:252–264, 1991.
[Raudys und Pikelis, 1980] Raudys, S., Pikelis, V. On dimensionality, sample size, classification error
and complexity of classification algorithm in pattern recognition. IEEE Trans. on Pattern Analysis
and Machine Intelligence, 2:242–252, 1980.
[Raviv, 1967] Raviv, J. Decision making in Markov chains applied to the problem of pattern recognition.
IEEE Trans. on Information Theory, 13:536–551, 1967.
[Regel, 1982] Regel, P. A module for acoustic-phonetic transcription of fluently spoken German speech.
IEEE Trans. on Acoustics, Speech, and Signal Processing, ASSP-30(3):440–450, 1982.
[Rehg et al., 2003] Rehg, J.M., Pavlovic, V., Huang, T.S., Freeman, W.T. Guest editor’s introduction to
the special section on graphical models in computer vision. IEEE Trans. on Pattern Analysis and
Machine Intelligence, 25:785–786, 2003.
[Reinhold, 2003] Reinhold, M. Robuste, probabilistische, erscheinungsbasierte Objekterkennung. Dissertation,
Technische Fakultät, Universität Erlangen-Nürnberg, Erlangen, Germany, 2003.
[Reinhold, 2004] Reinhold, M. Robuste, probabilistische, erscheinungsbasierte Objekterkennung,
Bd. 10 von Studien zur Mustererkennung. Logos, Berlin, 2004.
[Reinhold et al., 2001] Reinhold, M., Paulus, D., Niemann, H. Appearance-based statistical object recognition
by heterogeneous background and occlusions. In B. Radig, S. Florczyk, Hg., Pattern
Recognition. Proc. 23rd DAGM Symposium, S. 254–261. (Springer LNCS 2191, Berling Heidelberg,
ISBN 3-540-42596-9), München, Germany, 2001.
[Reinhold et al., 2005] Reinhold, M.P., Grzegorzek, M., Denzler, J., Niemann, H. Appearance-based
recognition of 3-D objects by cluttered background and occlusions. Pattern Recognition, 38:739–
753, 2005.
[Renyi, 1960] Renyi, A. On measures of entropy and information. In Proc. 4. Berkeley Symposium on
Mathematics, Statistics, and Probability, S. 547–561, 1960.
[Reynolds, 1995] Reynolds, D.A. Speaker identification and verification using Gaussian mixture speaker
models. Speech Communication, 17:91–108, 1995.
[Reynolds und Rose, 1995] Reynolds, D.A., Rose, R.C. Robust text-independent speaker identification
using Gaussian mixture speaker models. IEEE Trans. on Speech and Audio Processing, 3:72–83,
1995.
[Ridella et al., 1997] Ridella, S., Rovetta, S., Zunino, R. Circular backpropagation networks for classification.
IEEE Trans. on Neural Networks, 8:84–97, 1997.
[Riseman und Hanson, 1974] Riseman, E.M., Hanson, A.R. A contextual postprocessing system for
error correction using binary n-grams. IEEE Trans. on Computers, 23:480–493, 1974.
[Rissanen, 1978] Rissanen, J. Modeling by shortest data description. Automation, 14:465–471, 1978.
[Rissanen, 1989] Rissanen, J. Stochastic Complexity in Statistical Inquiry. World Scientific, Singapore,
1989.
[Ritter und Gaggenmeier, 1999] Ritter, G., Gaggenmeier, K. Automatic classification of chromosomes
by means of quadratically asymmetric statistical distributions. Pattern Recognition, 32:997–1008,
1999.
[Ritter et al., 1995] Ritter, G., Gallegos, M.T., Gaggenmeier, K. Automatic context-sensitive karyotyping
of human chromosomes based on elliptically symmetric statistical distributions. Pattern
Recognition, 28:823–831, 1995.
[Ritter et al., 1991] Ritter, H., Martinetz, T., Schulten, K. Neuronale Netze. Addison-Wesley, Bonn, 2.