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All Publications

2000

Herbrich, R., Graepel, T. and Obermayer, K. (2000). Large Margin Rank Boundaries for Ordinal Regression. Advances in Large Margin Classifiers. MIT Press, 115 – 132.,


1999

Krepki, R., Pu, Y., Meng, H. and Obermayer, K. (1999). A New Algorithm for the Interrogation of 3D Holographic Particle Tracking Velocimetry Data Based on Deterministic Annealing and EM-Optimizazion. 3rd International Workshop on Particle Image Velocimetry. PIV \'99, Santa Barbara, CA, USA, (1 – 14).,


Pielot, R., Scholz, M., Obermayer, K., Gundelfinger, E. and Hess, A. (1999). Optimiertes Warping durch gewichtete Summen von Verschiebungsvektoren - eine neue Methode zur Reduktion von interindividuellen Variabilitäten von Hirndaten. Bildverarbeitung für die Medizin. Springer-Verlag Heidelberg, 417 – 421.,



Piepenbrock, C. and Obermayer, K. (1999). The Role of Lateral Cortical Competition in Ocular Dominance Development. Advances in Neural Information Processing Systems 11. MIT Press, 139 – 145.,


Schöner, H., Stetter, M., Schiessl, I., Mayhew, J., Lund, J., McLoughlin, N. and Obermayer, K. (1999). Blind Separation of Noisy Mixtures by Iterative Decorrelation.. Proceedings. The Learning Workshop, Snowbird, USA, (1 – 2).,


Schiessl, I., Stetter, M., Mayhew, J., Askew, S., McLoughlin, N., Levitt, J., Lund, J. and Obermayer, K. (1999). Blind Separation of Spatial Signal Patterns from Optical Imaging Records. ICA99 - International workshop on Idependent Component Analysis and Blind Source Separation, 179 – 184.,


Adorjan, P., Barna, G., Erdi, P. and Obermayer, K. (1999). A Statistical Neural Field Approach To Orientation Selectivity. Neurocomputing, 26-27, 313 – 318.


Adorjan, P., Levitt, J., Lund, J. and Obermayer, K. (1999). A Model for the Intracortical Origin of Orientation Preference and Tuning in Macaque Striate Cortex. Visual Neuroscience, 16, 303 – 318.


Adorjan, P. and Obermayer, K. (1999). Contrast Adaptation in Simple Cells by Changing the Transmitter Release Probability. Advances in Neural Information Processing Systems 11. MIT Press.,


Adorjan, P., Piepenbrock, C. and Obermayer, K. (1999). Contrast Adaptation and Infomax in Visual Cortical Neurons. Review Neuroscience, 10, 181 – 200.


Stetter, M. and Obermayer, K. (1999). Simulation of Scanning Laser Techniques for Optical Imaging of Blood-Related Intrinsic Signals. Journal of the Optical Society of America, 16, 58 – 70.


Bartsch, H., Stetter, M. and Obermayer, K. (1999). On the Influence of Threshold Variability in a Model of the Visual Cortex. Artificial Neural Networks - ICANN 99. IEEE, 73 – 78.,10.1049/cp:19991087


Bauer, U., Scholz, M., Levitt, J., Obermayer, K. and Lund, J. (1999). A Model for the Depth-Dependence of Receptive Field Size and Contrast Sensitivity of Cells in Layer 4C of Macaque Striate Cortex. Vision Research, 39, 613 – 629.


Blankertz, B., Purwins, H. and Obermayer, K. (1999). Constant Q Profiles and Toroidal Models of Inter-Key Relations. Proceedings of CMI-99, Conference on Musical Imagery, VI. International Conference on Systematic and Comparative Musicology, Oslo,


Weber, C. and Obermayer, K. (1999). Orientation Selective Cells Emerge in a Sparsely Coding Boltzmann Machine. Artificial Neural Networks - ICANN 99. IEEE, 286 – 291.,10.1049/cp:19991123


Dima, A., Scholz, M. and Obermayer, K. (1999). Semi-Automatic Quality Determination of 3D Confocal Microscope Scans of Neuronal Cells Denoised by 3D-Wavelet Shrinkage. Wavelet Applications VI - Proceedings of the SPIE, 446 – 457.,10.1117/12.342957


Graepel, T., Herbrich, R., Bollmann-Sdorra, P. and Obermayer, K. (1999). Classification on Pairwise Proximity Data. Advances in Neural Information Processing Systems 11. MIT Press, 438 – 444.,


Graepel, T., Herbrich, R. and Obermayer, K. (1999). Bayesian transductive classification by maximizing volume in version space. Proceedings of Learning 1999 Conference,


Graepel, T., Herbrich, R., Schoelkopf, B., Smola, A., Bartlett, P., Mueller, K., Obermayer, K. and Williamson, R. (1999). Classification on Proximity Data with LP-Machines. 9th International Conference on Artificial Neural Networks - ICANN99. IEEE, 304 – 309.,10.1049/cp:19991126


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