Publications of B Schölkopf

Zhou, D.; Schölkopf, B.: Learning from Labeled and Unlabeled Data Using Random Walks. Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2004), 12 pp.

Lal, T.; Schröder, M.; Hinterberger, T.; Weston, J.; Bogdan , M.; Birbaumer, N.; Schölkopf, B.: Support Vector Channel Selection in BCI (Technical Report of the Max Planck Institute for Biological Cybernetics, 120). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2003), 9 pp.

Toyama, K.; Schölkopf, B.: Interactive Images. Microsoft Research, Redmond, WA, USA (2003), 7 pp.

Ham, J.; Lee, D.; Mika, S.; Schölkopf, B.: A kernel view of the dimensionality reduction of manifolds (Technical Report of the Max Planck Institute for Biological Cybernetics, 110). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2003), 8 pp.

Franz, M.; Schölkopf, B.: Implicit Wiener Series: Part I: Cross-Correlation vs. Regression in Reproducing Kernel Hilbert Spaces (Technical Report of the Max Planck Institute for Biological Cybernetics, 114). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2003), 15 pp.

Kim, K.; Franz, M.; Schölkopf, B.: Kernel Hebbian Algorithm for Iterative Kernel Principal Component Analysis (Technical Report of the Max Planck Institute for Biological Cybernetics, 109). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2003), 13 pp.

Zhou, D.; Bousquet, O.; Lal, T.; Weston, J.; Schölkopf, B.: Learning with Local and Global Consistency (Technical Report of the Max Planck Institute for Biological Cybernetics, 112). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2003), 8 pp.

Zhou, D.; Weston, J.; Gretton, A.; Bousquet, O.; Schölkopf, B.: Ranking on Data Manifolds (Technical Report of the Max Planck Institute for Biological Cybernetics, 113). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2003), 8 pp.

von Luxburg, U.; Bousquet, O.; Schölkopf, B.: A compression approach to support vector model selection (Technical Report of the Max Planck Institute for Biological Cybernetics, 101). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2002), 9 pp.

Weston, J.; Chapelle, O.; Elisseeff, A.; Schölkopf, B.; Vapnik, V.: Kernel Dependency Estimation (Technical Report of the Max Planck Institute for Biological Cybernetics, 98). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2002), 10 pp.

Romdhani, S.; Torr, P.; Schölkopf, B.; Blake, A.: Computationally Efficient Face Detection. Microsoft Research, Microsoft Corporation, Redmond, WA, USA (2002)

Weston, J.; Perez-Cruz F, Bousquet, O.; Chapelle, O.; Elisseeff, A.; Schölkopf, B.: Feature Selection and Transduction for Prediction of Molecular Bioactivity for Drug Design. (2002)

Bradshaw, B.; Schölkopf, B.; Platt, J.: Kernel Methods for Extracting Local Image Semantics. Microsoft Research, Microsoft Corporation, Redmond WA USA (2001), 9 pp.

Bartlett, P.; Schölkopf, B.: Some kernels for structured data. Biowulf Technologies, Savannah, GA, USA (2001)

Chapelle, O.; Schölkopf, B.: Incorporating Invariances in Non-Linear Support Vector Machines. (2001)

Chen, Y.; Fu, Q.; Gu, L.; Li, S.; Schölkopf, B.; Zhang, H.: Kernel Machine Based Learning for Multi-View Face Detection and Pose Estimation. Microsoft Research, Microsoft Corporation, Redmond, VA, USA (2001)

Gretton, A.; Herbrich R, Schölkopf, B.; Rayner, P.: Bound on the Leave-One-Out Error for 2-Class Classification using nu-SVMs. (2001)

Gretton, A.; Herbrich R, Schölkopf, B.; Smola, A.; Rayner, P.: Bound on the Leave-One-Out Error for Density Support Estimation using nu-SVMs. (2001)

Weston, J.; Elisseeff, A.; Schölkopf, B.: Use of the $ell_0$-norm with linear models and kernel methods. Biowulf Technologies, Savannah, GA, USA (2001)

Schölkopf, B.; Platt, J.; Shawe-Taylor, J.; Smola, A.; Williamson, R.: Estimating the support of a high-dimensional distribution. Microsoft Research, Microsoft Corporation, Redmond, VA, USA (2000), 30 pp.