Suchergebnisse

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

Jutten, C.; Karhunen , J.; Almeida, L.; Harmeling, S.: Technical report on Separation methods for nonlinear mixtures. BLISS ST-1999-14190 Blind Source Separation and Applications (2003), 23 S.

Quiñonero-Candela, J.; Girard, A.; Rasmussen, C.: Prediction at an Uncertain Input for Gaussian Processes and Relevance Vector Machines - Application to Multiple-Step Ahead Time-Series Forecasting. Technical University of Denmark, DTU: Informatics and Mathematical Modelling, Kopenhagen, Denmark (2003), 14 S.

Tsuda, K.; Rätsch, G.: Image Reconstruction by Linear Programming (Technical Report of the Max Planck Institute for Biological Cybernetics, 118). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2003), 12 S.

Harmeling, S.; Bünau , P.; Ziehe, A.; Pham, D.-T.: Technical report on implementation of linear methods and validation on acoustic sources. BLISS IST-1999-14190 Blind Source Separation and Applications (2003), 16 S.

MacNeilage, P.; Berger, D.; von der Heyde, M.; Banks, S.; Bülthoff, H.: Do Visual Cues Influence the Perception of Earth Vertical? (Technical Report of the Max Planck Institute for Biological Cybernetics, 116). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2003), 16 S.

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 S.

Treiber, S.; Juchem, C.; Logothetis, N.; Pfeuffer, J.: Simulation von Basisspektren zur Frequenzdomänenanalyse von in vivo 1H NMR-Spektren mittels LCModel: Simulation of Basis Spectra for Frequency Domain Analysis of in vivo 1H NMR Spectra using LCModel (Technical Report of the Max Planck Institute for Biological Cybernetics, 117). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2003), 43 S.

Wiener, J.; Mallot, H.: Navigating Regionalized Environments (Technical Report of the Max Planck Institute for Biological Cybernetics, 115). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2003), 19 S.

Dhillon, I.; Sra, S.; Tropp, J.: The Metric Nearness Problem with Applications. University of Texas: Department of Computer Science, Austin, TX, USA (2003), 14 S.

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 S.

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 S.

Weston, J.; Leslie, C.; Elisseeff, A.; Noble, W.: Machine Learning approaches to protein ranking: discriminative, semi-supervised, scalable algorithms (Technical Report of the Max Planck Institute for Biological Cybernetics, 111). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2003), 10 S.

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 S.

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 S.

Kuss, M.; Graepel, T.: The Geometry Of Kernel Canonical Correlation Analysis (Technical Report of the Max Planck Institute for Biological Cybernetics, 108). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2003), 11 S.

Gretton, A.; Herbrich, R.; Smola, A.: The Kernel Mutual Information. Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2003), 91 S.

Banerjee, A.; Dhillon, I.; Ghosh, J.; Sra, S.: Expectation Maximization for Clustering on Hyperspheres. University of Texas: Department of Computer Science, Austin, TX, USA (2003), 33 S.

Bousquet, O.: A Note on Parameter Tuning for On-Line Shifting Algorithms. Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2003), 9 S.

Dhillon, I.; Sra, S.: Modeling Data using Directional Distributions. University of Texas: Department of Computer Science, Austin, TX, USA (2003), 21 S.