Publikationen von B Schölkopf

Franz, M.; Schölkopf, B.; Mallot, H.; Bülthoff, H.: Where did I take that snapshot? Scene-based homing by image matching. Biological Cybernetics 79 (3), S. 191 - 202 (1998)

Smola, A.; Schölkopf, B.: On a Kernel-Based Method for Pattern Recognition, Regression, Approximation, and Operator Inversion. Algorithmica 22 (1-2), S. 211 - 231 (1998)

Schölkopf, B.: The moon tilt illusion. Perception 27 (10), S. 1229 - 1232 (1998)

Hearst, M.; Dumais, S.; Osman, E.; Platt, J.; Schölkopf, B.: Support vector machines. IEEE Intelligent Systems and their Applications 13 (4), S. 18 - 28 (1998)

Schölkopf, B.; Smola, A.; Müller, K.-R.: Nonlinear Component Analysis as a Kernel Eigenvalue Problem. Neural computation 10 (5), S. 1299 - 1319 (1998)

Smola, A.; Schölkopf, B.; Müller, K.-R.: The connection between regularization operators and support vector kernels. Neural networks 11 (4), S. 637 - 649 (1998)

Franz, M.; Schölkopf, B.; Mallot, H.; Bülthoff, H.: Learning view graphs for robot navigation. Autonomous Robots 5 (1), S. 111 - 125 (1998)

Schölkopf, B.; Sung , K.; Burges , C.; Girosi, F.; Niyogi, P.; Poggio, T.; Vapnik, V.: Comparing support vector machines with Gaussian kernels to radial basis function classifiers. IEEE Transactions on Signal Processing 45 (11), S. 2758 - 2765 (1997)

Schölkopf, B.; Mallot, H.: View-Based Cognitive Mapping and Path Planning. Adaptive Behavior 3 (3), S. 311 - 348 (1995)

Lu, H.-S.; Schölkopf, B.; Zhao, H. (Hg.): Handbook of Statistical Bioinformatics. Springer, Berlin, Germany (2011), 627 S.

Bakir, G.; Hofmann, T.; Schölkopf, B.; Smola , A.; Taskar, B.; Vishwanathan, S.: Predicting Structured Data. MIT Press, Cambridge, MA, USA (2007), 360 S.

Chapelle, O.; Schölkopf, B.; Zien, A.: Semi-Supervised Learning. MIT Press, Cambridge, MA, USA (2006), 508 S.

Schölkopf, B.; Tsuda, K.; Vert, J.-P.: Kernel Methods in Computational Biology. MIT Press, Cambridge, MA, USA (2004), 400 S.

Schölkopf, B.; Smola, A.: Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond. MIT Press, Cambridge, MA, USA (2002), 626 S.

Smola, A.; Bartlett, P.; Schölkopf, B.; Schuurmans, D.: Advances in Large Margin Classifiers. MIT Press, Cambridge, MA, USA (2000), 412 S.

Charpiat, G.; Hofmann, M.; Schölkopf, B.: Kernel methods in medical imaging. In: Handbook of Biomedical Imaging, S. 63 - 81 (Hg. Paragios, N.; Duncan, J.; Ayache, N.). Springer, Berlin, Germany (2015)

Charpiat, G.; Hofmann, M.; Schölkopf, B.: Kernel Methods in Medical Imaging. In: Handbook of Biomedical Imaging: Methodologies and Clinical Research, S. 63 - 81 (Hg. Paragios, N.; Duncan, J.; Ayache, N.). Springer, Boston, MA, USA (2015)

von Luxburg, U.; Schölkopf, B.: Statistical Learning Theory: Models, Concepts, and Results. In: Handbook of the History of Logic, Bd. 10: Inductive Logic, S. 651 - 706 (Hg. Gabbay, M.; Hartmann, S.; Woods, J.). Elsevier North Holland, Amsterdam, Netherlands (2011)

Charpiat, G.; Bezrukov, I.; Hofmann, M.; Altun, Y.; Schölkopf, B.: Machine Learning Methods for Automatic Image Colorization. In: Computational Photography: Methods and Applications, S. 395 - 418 (Hg. Lukac, R.). CRC Press, Boca Raton, FL, USA (2011)

Walder, C.; Breidt, M.; Bülthoff, H.; Schölkopf, B.; Curio, C.: Markerless tracking of dynamic 3D scans of faces. In: Dynamic Faces: Insights from Experiments and Computation, 17, S. 255 - 276 (Hg. Curio, C.; Bülthoff, H.; Giese, M.). MIT Press, Cambridge, MA, USA (2010)