PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

EPrints submitted by Bernhard Schölkopf

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Number of EPrints submitted by this user: 137

Learning to Find Pre-Images
Goekhan BakIr, Jason Weston and Bernhard Schölkopf
In: NIPS 16, Vancouver(2004).

Advances in Neural Information Processing Systems 16
S. Thrun, L.K. Saul and Bernhard Schölkopf
(2004) MIT Press .

Kernel Methods in Computational Biology
Bernhard Schölkopf, K. Tsuda and J.P. Vert
(2004) MIT Press .

A Primer on Kernel Methods
J.P. Vert, K. Tsuda and Bernhard Schölkopf
In: Kernel Methods in Computational Biology (2004) MIT Press , pp. 35-70.

Pattern Recognition
C.E. Rasmussen, H.H. Bülthoff, M. Giese and Bernhard Schölkopf, ed. (2004) Springer , Berlin, Germany .

A gene expression map of Arabidopsis thaliana development
M. Schmid, T.S. Davison, S.R. Henz, U.J. Pape, M. Demar, M. Vingron, Bernhard Schölkopf, D. Weigel and J.U. Lohmann
Nature Genetics Volume 37, Number 5, pp. 501-506, 2005.

Kernel Methods for Implicit Surface Modeling
Bernhard Schölkopf, J. Giesen and S. Spalinger
In: Advances in Neural Information Processing Systems 17, 8-13 Dec 2003, Vancouver / Whistler, Canada.

Joint Kernel Maps
J. Weston, Bernhard Schölkopf and O. Bousquet
In: Proceedings of the 8th International Work-Conference on Artificial Neural Networks (Computational Intelligence and Bioinspired System), 8-10 Jun 2005, Vilanova i la Geltrú, Barcelona, Spain.

Support Vector Machines and Kernel Algorithms.
Bernhard Schölkopf and Alex Smola
In: Encyclopedia of Biostatistics (2005) John Wiley & Sons .

Long Term Prediction of Product Quality in a Glass Manufacturing Process Using a Kernel Based Approach
T. Jung, L. Herrera and Bernhard Schölkopf
In: Proceedings of the 8th International Work-Conference on Artificial Neural Networks (Computational Intelligence and Bioinspired Systems), 8-10 Jun 2005, Vilanova i la Geltrú, Barcelona, Spain.

Fast Protein Classification with Multiple Networks
Koji Tsuda, HyunJung Helen Shin and Bernhard Schölkopf
Bioinformatics Volume 21, Number (suppl_2), ii59-ii65, 2005.

Semi-Supervised Learning
Olivier Chapelle, Bernhard Schölkopf and Alexander Zien, ed. (2006) MIT Press , Cambridge, MA, USA .

Advances in Neural Information Processing Systems 18. Proceedings of the 2005 Conference
Yair Weiss, Bernhard Schölkopf and John C. Platt, ed. (2006) The MIT Press , Cambridge, MA, USA .

A Direct Method for Building Sparse Kernel Learning Algorithms
Mingrui Wu, Bernhard Schölkopf and Gökhan Bakir
Journal of Machine Learning Research Volume 7, pp. 603-624, 2006.

Classification of Faces in Man and Machine
Arnulf B.A. Graf, Felix A. Wichmann, Heinrich H. Bülthoff and Bernhard Schölkopf
Neural Computation Volume 18, pp. 143-165, 2006.

Combining a Filter Method with SVMs
Thomas N. Lal, Olivier Chapelle and Bernhard Schölkopf
In: Feature Extraction, Foundations and Applications (2006) Springer-Verlag , Berlin/Heidelberg, Germany , pp. 439-445.

Discrete Regularization
Dengyong Zhou and Bernhard Schölkopf
In: Semi-Supervised Learning (2006) The MIT Press , Cambridge, MA, USA , pp. 227-238.

Implicit Surfaces with Globally Regularised and Compactly Supported Basis Functions
Christian Walder, Bernhard Schölkopf and Olivier Chapelle
In: 20th Annual Conference on Neural Information Processing Systems, 4-9 Dec 2006, Vancouver / Whistler, Canada.

A Local Learning Approach for Clustering
Mingru Wu and Bernhard Schölkopf
In: 20th Annual Conference on Neural Information Processing Systems, 4-9 Dec 2006, Vancouver / Whistler, Canada.

Learning Dense 3D Correspondence
Florian Steinke, Bernhard Schölkopf and Volker Blanz
In: 20th Annual Conference on Neural Information Processing Systems, 4-9 Dec 2006, Vancouver / Whistler, Canada.

Learning with Hypergraphs: Clustering, Classification, and Embedding
Dengyong Zhou, Jiayuan Huang and Bernhard Schölkopf
In: 20th Annual Conference on Neural Information Processing Systems, 4-9 Dec 2006, Vancouver / Whistler, Canada.

Causal Inference by Choosing Graphs with Most Plausible Markov Kernels.
Xiaohai Sun, Dominik Janzing and Bernhard Schölkopf
In: 9th International Symposium on Artificial Intelligence and Mathematics, 4-6 Jan 2006, Fort Lauderdale, Florida.

Machine Learning Methods for Estimating Operator Equations
Florian Steinke and Bernhard Schölkopf
In: 14th IFAC (International Federation of Automatic Control) Symposium on System Identification, SYSID 2006, 29-31 March 2006, Newcastle, Australia.

Predicting Structured Data
G.H. BakIr, T. Hofmann, B. Schölkopf, A.J. Smola, B. Taskar and S.V.N. Vishwanathan
(2007) MIT Press , Cambridge, MA, USA .

Advances in Neural Information Processing Systems 19: Proceedings of the 2006 Conference
B. Schölkopf, J. Platt and T. Hofmann
(2007) MIT Press , Cambridge, MA, USA .

Generalization and Similarity in Exemplar Models of Categorization: Insights from Machine Learning
F. Jäkel, B. Schölkopf and F.A. Wichmann
Psychonomic Bulletin and Review 2007.

Real-Time Fetal Heart Monitoring in Biomagnetic Measurements Using Adaptive Real-Time ICA
S. Waldert, M. Bensch, M. Bogdan, W. Rosenstiel, B. Schölkopf, C.L. Lowery, H. Eswaran and H. Preissl
IEEE Transactions on Biomedical Engineering Volume 54, Number 10, pp. 1867-1874, 2007.

A Tutorial on Kernel Methods for Categorization
F. Jäkel, B. Schölkopf and F.A. Wichmann
Journal of Mathematical Psychology Volume 51, Number 6, pp. 343-358, 2007.

Feature Selection for trouble shooting in complex assembly lines
T. Pfingsten, D.J.L. Herrmann, T. Schnitzler, A. Feustel and B. Schölkopf
IEEE Transactions on Automation Science and Engineering Volume 4, Number 3, pp. 465-469, 2007.

MR-Based PET Attenuation Correction: Method and Validation
M. Hofmann, F. Steinke, V. Scheel, C. Charpiat, M. Brady, B. Schölkopf and B.J. Pichler
In: Proceedings of the 2007 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS-MIC)(2007).

A kernel-based causal learning algorithm
X. Sun, D. Janzing and B. Schölkopf
In: Proceedings of the 24th Annual International Conference on Machine Learning(2007).

Distinguishing between cause and effect via kernel-based complexity measures for conditional distributions
X. Sun, D. Janzing and B. Schölkopf
In: Proceedings of the 15th European Symposium on Artificial Neural Networks (ESANN)(2007).

Transductive Classification via Local Learning Regularization
M. Wu and B. Schölkopf
In: Proceedings of the 11th International Conference on Artificial Intelligence and Statistics (AISTATS)(2007).

On the Pre-Image Problem in Kernel Methods
G.H. BakIr, B. Schölkopf and J. Weston
In: Kernel Methods in Bioengineering, Signal and Image Processing (2007) Idea Group Publishing , pp. 284-302.

Contour-Propagation Algorithms for Semi-Automated Reconstruction of Neural Processes
J.H. Macke, N. Maack, R. Gupta, W. Denk, B. Schölkopf and A. Borst
Journal of Neuroscience Methods Volume 167, Number 2, pp. 349-357, 2008.

An Analysis of Inference with the Universum
F.H. Sinz, O. Chapelle, A. Agarwal and B. Schölkopf
In: Proceedings of the 20th Annual Conference on Neural Information Processing Systems (NIPS)(2007).

Towards quantitative PET/MRI: a review of MR-based attenuation correction techniques
M. Hofmann, B. Pichler, B. Schölkopf and T. Beyer
European Journal of Nuclear Medicine and Molecular Imaging Volume E-pub ahead, pp. 1-12, 2008.

Kernels, Regularization and Differential Equations
F. Steinke and B. Schölkopf
Pattern Recognition Volume 41, Number 11, pp. 3271-3286, 2008.

Support Vector Machines and Kernels for Computational Biology
A. Ben-Hur, C.S. Ong, S. Sonnenburg, B. Schölkopf and G. Rätsch
PLoS Computational Biology Volume 4(10: e1000173), pp. 1-10, 2008.

MRI-Based Attenuation Correction for PET/MRI: A Novel Approach Combining Pattern Recognition and Atlas Registration
M. Hofmann, F. Steinke, V. Scheel, G. Charpiat, J. Farquhar, P. Aschoff, M. Brady, B. Schölkopf and B.J. Pichler
Journal of Nuclear Medicine Volume 49, Number 11, pp. 1875-1883, 2008.

Similarity, Kernels, and the Triangle Inequality
F. Jäkel, B. Schölkopf and F.A. Wichmann
Journal of Mathematical Psychology Volume 52, Number 2, pp. 297-303, 2008.

Voluntary Brain Regulation and Communication with ECoG-Signals
T. Hinterberger, G. Widmann, T.N. Lal, J. Hill, M. Tangermann, W. Rosenstiel, B. Schölkopf, C.E. Elger and N. Birbaumer
Epilepsy and Behavior Volume 13, Number 2, pp. 300-306, 2008.

At-TAX: A Whole Genome Tiling Array Resource for Developmental Expression Analysis and Transcript Identification in Arabidopsis thaliana
S. Laubinger, G. Zeller, S.R. Henz, T. Sachsenberg, C.K. Widmer, N. Naouar, M. Vuylsteke, B. Schölkopf, G. Rätsch and D. Weigel
Genome Biology Volume 9(7: R112), pp. 1-16, 2008.

Kernel Methods in Machine Learning
T. Hofmann, B. Schölkopf and A.J. Smola
Annals of Statistics Volume 36, Number 3, pp. 1171-1220, 2008.

Generalization and Similarity in Exemplar Models of Categorization: Insights from Machine Learning
F. Jäkel, B. Schölkopf and F.A. Wichmann
Psychonomic Bulletin and Review Volume 15, Number 2, pp. 256-271, 2008.

Manifold-valued Thin-plate Splines with Applications in Computer Graphics
F. Steinke, M. Hein, J. Peters and B. Schölkopf
Computer Graphics Forum Volume 27, Number 2, pp. 437-448, 2008.

Protein Functional Class Prediction With a Combined Graph
H.H. Shin, K. Tsuda and B. Schölkopf
Expert Systems with Applications Volume 36, Number 2, pp. 3284-3292, 2008.

Causal Reasoning by Evaluating the Complexity of Conditional Densities with Kernel Methods
X. Sun, D. Janzing and B. Schölkopf
Neurocomputing Volume 71, Number 7-9, pp. 1248-1256, 2008.

Contour-propagation Algorithms for Semi-automated Reconstruction of Neural Processes
J.H. Macke, M. Maack, R. Gupta, W. Denk, B. Schölkopf and A. Borst
Journal of Neuroscience Methods Volume 167, Number 2, pp. 349-357, 2008.

Automatic Image Colorization Via Multimodal Predictions
G. Charpiat, M. Hofmann and B. Schölkopf
In: Computer Vision: ECCV 2008 (2008) Springer , Berlin, Germany , pp. 126-139.

Automatic 3D Face Reconstruction from Single Images or Video
P. Breuer, K.I. Kim, W. Kienzle, B. Schölkopf and V. Blanz
In: Proceedings of the 8th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2008) (2008) IEEE Computer Society , Los Alamitos, CA, USA .

Kernel Measures of Conditional Dependence
K. Fukumizu, A. Gretton, X. Sun and B. Schölkopf
In: Advances in Neural Information Processing Systems 20: Proceedings of the 2007 Conference (2008) MIT Press , Cambridge, MA, USA , pp. 489-496.

A Kernel Statistical Test of Independence
A. Gretton, K. Fukumizu, C.H. Teo, L. Song, B. Schölkopf and A.J. Smola
In: Advances in Neural Information Processing Systems 20: Proceedings of the 2007 Conference (2008) MIT Press , Cambridge, MA, USA , pp. 585-592.

An Analysis of Inference with the Universum
F.H. Sinz, O. Chapelle, A. Agarwal and B. Schölkopf
In: Advances in Neural Information Processing Systems 20: Proceedings of the 2007 Conference (2008) MIT Press , Cambridge, MA, USA , pp. 1369-1376.

RKHS Representation of Measures Applied to Homogeneity, Independence, and Fourier Optics
B. Schölkopf, B.K. Sriperumbudur, A. Gretton and K. Fukumizu
In: 30. Oberwolfach Report (OWR 2008) (2008) Mathematisches Forschungsinstitut , Oberwolfach-Walke, Germany , pp. 42-44.

Tailoring density estimation via reproducing kernel moment matching
L. Song, X. Zhang, A. Smola, A. Gretton and B. Schölkopf
In: Proceedings of the 25th International Conference on Machine Learning (ICML 2008) (2008) ACM Press , New York, NY, USA , pp. 992-999.

Injective Hilbert Space Embeddings of Probability Measures
B.K. Sriperumbudur, A. Gretton, K. Fukumizu, G. Lanckriet and B. Schölkopf
In: Proceedings of the 21st Annual Conference on Learning Theory (COLT 2008) (2008) Omnipress , Madison, WI, USA , pp. 111-122.

Sparse Multiscale Gaussian Process Regression
C. Walder, K.I. Kim and B. Schölkopf
In: Proceedings of the 25th International Conference on Machine Learning (ICML 2008) (2008) ACM Press , New York, NY, USA , pp. 1112-1119.

Learning Inverse Dynamics: A Comparison
D. Nguyen-Tuong, J. Peters, M. Seeger and B. Schölkopf
In: Advances in Computational Intelligence and Learning: Proceedings of the European Symposium on Artificial Neural Networks (ESANN 2008) (2008) d-side publications , Evere, Belgium , pp. 13-18.

Prototype Classification: Insights from Machine Learning
A.B.A. Graf, O. Bousquet, G. Rätsch and B. Schölkopf
Neural Computation Volume 21, Number 1, pp. 272-300, 2009.

Effects of Stimulus Type and of Error-Correcting Code Design on BCI Speller Performance
J. Hill, J. Farquhar, S.M.M. Martens, F. Biessmann and B. Schölkopf
In: The Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008), 8-11 Dec 2008, Vancouver, Canada.

Denoising photographs using dark frames optimized by quadratic programming
M. Gomez Rodriguez, J. Kober and B. Schölkopf
In: IEEE International Conference on Computational Photography (ICCP 2009), 16-17 April 2009, San Francisco, USA.

Online blind deconvolution for Astronomy
S. Harmeling, M. Hirsch, S. Sra and B. Schölkopf
In: IEEE International Conference Computational Photography (ICCP 2009), 16-17 April 2009, San Francisco, USA.

Characteristic Kernels on Groups and Semigroups
K. Fukumizu, B.K. Sriperumbudur, A. Gretton and B. Schölkopf
In: The Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008), 8-11 Dec 2008, Vancouver, Canada.

Nonlinear causal discovery with additive noise models
P.O. Hoyer, D. Janzing, J.M. Mooij, J. Peters and B. Schölkopf
In: The Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008), 8-11 Dec 2008, Vancouver, Canada.

Kernel Methods for Detecting the Direction of Time Series
J. Peters, D. Janzing, A. Gretton and B. Schölkopf
In: 32nd Annual Conference of the German Classification Society (GfKl 2008), 16-18 July 2008, Hamburg, Germany.

An Empirical Analysis of Domain Adaptation Algorithms for Genomic Sequence Analysis
G. Schweikert, C. Widmer, B. Schölkopf and G. Rätsch
In: The Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008), 8-11 Dec 2008, Vancouver, Canada.

Bayesian Experimental Design of Magnetic Resonance Imaging Sequences
M.W. Seeger, H. Nickisch, R. Pohmann and B. Schölkopf
In: The Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008), 8-11 Dec 2008, Vancouver, Canada.

Diffeomorphic Dimensionality Reduction
C. Walder and B. Schölkopf
In: The Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008), 8-11 Dec 2008, Vancouver, Canada.

Kernel Methods in Medical Imaging
G. Charpiat, M. Hofmann and B. Schölkopf
In: Handbook of Biomedical Imaging (2009) Springer , Berlin, Germany .

Covariate Shift by Kernel Mean Matching
A. Gretton, A.J. Smola, J. Huang, M. Schmittfull, K.M. Borgwardt and B. Schölkopf
In: Dataset Shift in Machine Learning (2009) MIT Press , Cambridge, MA, USA . ISBN 978-0-262-17005-5

Does Cognitive Science Need Kernels?
F. Jäkel, B. Schölkopf and F.A. Wichmann
Trends in Cognitive Sciences Volume 13, Number 9, pp. 381-388, 2009.

Falsificationism and Statistical Learning Theory: Comparing the Popper and Vapnik-Chervonenkis Dimensions
D. Corfield, B. Schölkopf and V. Vapnik
Journal for General Philosophy of Science Volume 40, Number 1, pp. 51-58, 2009.

Center-surround patterns emerge as optimal predictors for human saccade targets
W. Kienzle, M.O. Franz, B. Schölkopf and F.A. Wichmann
Journal of Vision Volume 9, Number 5:7, pp. 1-15, 2009.

Towards quantitative PET/MRI: a review of MR-based attenuation correction techniques
M. Hofmann, B. Pichler, B. Schölkopf and T. Beyer
European Journal of Nuclear Medicine and Molecular Imaging Volume 36, Number Supplement 1, pp. 93-104, 2009.

Towards quantitative PET/MRI: a review of MR-based attenuation correction techniques
M. Hofmann, B. Pichler, B. Schölkopf and T. Beyer
European Journal of Nuclear Medicine and Molecular Imaging Volume 36, Number Supplement 1, pp. 93-104, 2009.

Sparse online model learning for robot control with support vector regression
D. Nguyen-Tuong, B. Schölkopf and J. Peters
In: Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)(2009).

Sparse online model learning for robot control with support vector regression
D. Nguyen-Tuong, B. Schölkopf and J. Peters
In: Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)(2009).

Sparse online model learning for robot control with support vector regression
D. Nguyen-Tuong, B. Schölkopf and J. Peters
In: Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)(2009).

Incorporating Prior Knowledge on Class Probabilities into Local Similarity Measures for Intermodality Image Registration
M. Hofmann, B. Schölkopf, I. Bezrukov and N.D. Cahill
In: Proceedings of the MICCAI 2009 Workshop on Probabilistic Models for Medical Image Analysis (PMMIA)(2009).

Markerless 3D Face Tracking
C. Walder, M. Breidt, H.H. Bülthoff, B. Schölkopf and C. Curio
In: Pattern Recognition: 31st DAGM Symposium(2009).

An introduction to kernel learning algorithms
P.V. Gehler and B. Schölkopf
In: Kernel Methods for Remote Sensing Data Analysis (2009) Wiley , New York, NY, USA , pp. 25-48. ISBN 978-0-470-72211-4

An Incremental GEM Framework for Multiframe Blind Deconvolution, Super-Resolution, and Saturation Correction
S. Harmeling, S. Sra, M. Hirsch and B. Schölkopf
(2009) Technical Report. -.

Optimization of k-Space Trajectories by Bayesian Experimental Design
M. Seeger, H. Nickisch, R. Pohmann and B. Schölkopf
In: 17th Annual Scientific Meeting of the ISMRM(2009).

Optimization of k-Space Trajectories for Compressed Sensing by Bayesian Experimental Design
M. Seeger, H. Nickisch, R. Pohmann and B. Schölkopf
Magnetic Resonance in Medicine Volume 63, Number 1, pp. 116-126, 2010.

Dense 3D facial movement tracking for animation
C. Walder, M. Breidt, H.H. Bülthoff, B. Schölkopf and C. Curio
In: Dynamic Faces: Insights from Experiments and Computation (2010) MIT Press , Cambridge, MA, USA .

Multi-way set enumeration in weight tensors
Elisabeth Georgii, Koji Tsuda and Bernhard Schölkopf
Machine Learning Volume 82, Number 2, pp. 123-155, 2011.

The effect of patient positioning aids on PET quantification in PET/MR imaging
F Mantlik, M Hofmann, MK Werner, A Sauter, J Kupferschläger, B Schölkopf, BJ Pichler and T Beyer
European Journal of Nuclear Medicine and Molecular Imaging Volume Epub ahead 1-10, 2011.

Causal relationships between frequency bands of extracellular signals in visual cortex revealed by an information theoretic analysis
Michel Besserve, Bernhard Schölkopf, Nikos K. Logothetis and Stefano Panzeri
Journal of Computational Neuroscience Volume 29, Number 3, pp. 547-566, 2010.

Transition from the locked in to the completely locked-in state: A physiological analysis
A Ramos Murguialday, J Hill, M Bensch, S Martens, S Halder, F Nijboer, B Schölkopf, N Birbaumer and A Gharabaghi
Clinical Neurophysiology Volume Epub ahead, pp. 1-9, 2010.

Nonparametric Regression between General Riemannian Manifolds
Florian Steinke, Matthias Hein and Bernhard Schölkopf
SIAM Journal on Imaging Sciences Volume 3, Number 3, pp. 527-563, 2010.

Invariant Gaussian Process Latent Variable Models and Application in Causal Discovery
Kun Zhang, Bernhard Schölkopf and Dominik Janzing
In: 26th Conference on Uncertainty in Artificial Intelligence (UAI 2010), 8-11 July 2010, Catalina Island, California, USA.

The Influence of the Image Basis on Modeling and Steganalysis Performance
Valentin Schwamberger, Pham Hai Dang Le, Bernhard Schölkopf and Matthias O. Franz
In: 12th Information Hiding Conference, 28-30 June 2010, Calgary, Alberta, Canada.

Markerless tracking of dynamic 3D scans of faces
Christian Walder, Martin Breidt, Heinrich H. Bülthoff, Bernhard Schölkopf and Cristóbal Curio
In: Dynamic Faces: Insights from Experiments and Computation (2010) MIT Press , Cambridge, MA, USA , pp. 255-276. ISBN 0-262-01453-X

Machine Learning Methods for Automatic Image Colorization
Guillaume Charpiat, Ilja Bezrukov, Matthias Hofmann, Yasemin Altun and Bernhard Schölkopf
In: Computational Photography: Methods and Applications (2010) CRC Press , Boca Raton, FL, USA , pp. 395-418. ISBN 1439817499

Attenuation Correction for Whole Body PET/MR: Quantitative Evaluation and Lung Attenuation Estimation with Consistency Information
Ilja Bezrukov, Matthias Hofmann, Philip Aschoff, Thomas Beyer, Frederic Mantlik, Bernd J. Pichler and Bernhard Schölkopf
In: 2010 Nuclear Science Symposium and Medical Imaging Conference (NSS-MIC 2010)(2010).

High frequency phase-spike synchronization of extracellular signals modulates causal interactions in monkey primary visual cortex
M Besserve, Y Murayama, B Schölkopf, NK Logothetis and S Panzeri
In: 40th Annual meeting of the Society for Neuroscience (Neuroscience 2010), 13-17 Nov 2010, San Diego, USA.

PET/MRI: Observation of Non-Isotropic Positron Distribution in High Magnetic Fields and Its Diagnostic Impact
A Kolb, M Hofmann, A Sauter, CC Liu, B Schölkopf and BJ Pichler
In: 2010 Nuclear Science Symposium and Medical Imaging Conference(2010).

Handbook of Statistical Bioinformatics
Henry Horng-Shing Liu, Bernhard Schölkopf and Hongyu Zhao, ed. (2011) Springer Handbooks of Computational Statistics . Springer . ISBN 978-3-642-16344-9

MRI-Based Attenuation Correction for Whole-Body PET/MRI: Quantitative Evaluation of Segmentation- and Atlas-Based Methods
Matthias Hofmann, Ilja Bezrukov, Frederic Mantlik, Philip Aschoff, Florian Steinke, Thomas Beyer, Bernd J. Pichler and Bernhard Schölkopf
The Journal of Nuclear Medicine Volume 52, Number 9, pp. 1392-1399, 2011. ISSN 0161-5505

The effect of patient positioning aids on PET quantification in PET/MR imaging
Frederic Mantlik, Matthias Hofmann, Matthias K. Werner, Alexander Sauter, Jürgen Kupferschläger, Bernhard Schölkopf, Bernd J. Pichler and Thomas Beyer
European Journal of Nuclear Medicine and Molecular Imaging Volume 38, Number 5, pp. 920-929, 2011. ISSN 1619-7070

Transition from the locked in to the completely locked-in state: A physiological analysis
A. Ramos Murguialday, J. Hill, M. Bensch, S. Martens, S. Halder, F. Nijboer, Bernhard Schölkopf, N. Birbaumer and A. Gharabaghi
Clinical Neurophysiology Volume 122, Number 5, pp. 925-933, 2011. ISSN 1388-2457

A Blind Deconvolution Approach for Improving the Resolution of Cryo-EM Density Maps
Michael Hirsch, Bernhard Schölkopf and Michael Habeck
Journal of Computational Biology Volume 18, Number 3, pp. 335-346, 2011. ISSN 1557-8666

Multi-way set enumeration in weight tensors
Elisabeth Georgii, Koji Tsuda and Bernhard Schölkopf
Machine Learning Volume 82, Number 2, pp. 123-155, 2011. ISSN 0885-6125

A graphical model framework for decoding in the visual ERP-based BCI speller
S.M.M. Martens, J.M. Mooij, N.J. Hill, J. Farquhar and Bernhard Schölkopf
Neural Computation Volume 23, Number 1, pp. 160-182, 2011. ISSN 0899-7667

Learning anticipation policies for robot table tennis
Zhikun Wang, Christoph H. Lampert, Katharina Mülling, Bernhard Schölkopf and Jan Peters
In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2011)(2011).

Influence Maximization in Continuous Time Diffusion Networks
M Gomez Rodriguez and Bernhard Schölkopf
In: Proceedings of the 29th International Conference on Machine Learning (ICML 2012)(2012).

Learning inverse kinematics with structured prediction
Botond Bocsi, Duy Nguyen-Tuong, Lehel Csato, Bernhard Schölkopf and Jan Peters
In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2011(2011).

Adaptive nonparametric detection in cryo-electron microscopy
Mikhail Langovoy, Michael Habeck and Bernhard Schölkopf
In: 58th World Statistics Congress of the International Statistical Institute (ISI 2011)(2011).

Spatial statistics, image analysis and percolation theory
Mikhail Langovoy, Michael Habeck and Bernhard Schölkopf
In: 2011 Joint Statistical Meetings (JSM)(2011).

Two-locus association mapping in subquadratic time
Panagiotis Achlioptas, Bernhard Schölkopf and Karsten Borgwardt
In: 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2011)(2011).

Uncovering the Temporal Dynamics of Diffusion Networks
Manuel Gomez Rodriguez, David Balduzzi and Bernhard Schölkopf
In: 28th International Conference on Machine Learning(2011).

Switched Latent Force Models for Movement Segmentation
Mauricio A. Alvarez, Jan Peters, Bernhard Schölkopf and Neil D. Lawrence
In: 24th Annual Conference on Neural Information Processing Systems (NIPS 2010)(2011).

Removing noise from astronomical images using a pixel-specific noise model
H.C. Burger, Bernhard Schölkopf and Stefan Harmeling
In: IEEE International Conference on Computational Photography (ICCP 2011)(2011).

GLIDE: GPU-Based Linear Regression for Detection of Epistasis
T Kam-Thong, C-A Azencott, L Cayton, B Pütz, A Altmann, N Karbalai, PG Sämann, Bernhard Schölkopf, B Müller-Myhsok and KM Borgwardt
Human Heredity Volume 73, Number 4, pp. 220-236, 2012.

High gamma-power predicts performance in sensorimotor-rhythm brain-computer interfaces
M Grosse-Wentrup and Bernhard Schölkopf
Journal of Neural Engineering Volume 9, Number 4, 2012.

Information-geometric approach to inferring causal directions
D Janzing, J Mooij, K Zhang, J Lemeire, J Zscheischler, P Daniušis, B Steudel and Bernhard Schölkopf
Artificial Intelligence Volume 182-183, 2012.

A Kernel Two-Sample Test
A Gretton, K Borgwardt, M Rasch, Bernhard Schölkopf and A Smola
Journal of Machine Learning Research Volume 13, pp. 723-773, 2012.

An online brain–computer interface based on shifting attention to concurrent streams of auditory stimuli
NJ Hill and Bernhard Schölkopf
Journal of Neural Engineering Volume 9, Number 2, 2012.

MR-based PET Attenuation Correction for PET/MR Imaging
I Bezrukov, F Mantlik, H Schmidt, Bernhard Schölkopf and BJ Pichler
Seminars in Nuclear Medicine Volume 43, Number 1, pp. 45-59, 2012.

On the Empirical Estimation of Integral Probability Metrics
B Sriperumbudur, K Fukumizu, A Gretton, Bernhard Schölkopf and G Lanckriet
Electronic Journal of Statistics Volume 6, pp. 1550-1599, 2012.

Probabilistic movement modeling for intention inference in human-robot interaction
Z Wang, K Mülling, M Deisenroth, H Ben Amor, D Vogt, Bernhard Schölkopf and J Peters
International Journal of Robotics Research 2013.

Submodular Inference of Diffusion Networks from Multiple Trees
M Gomez Rodriguez and Bernhard Schölkopf
Proceedings of the 29th International Conference on Machine Learning (ICML 2012) pp. 489-496, 2012.

Probabilistic Modeling of Human Movements for Intention Inference
Z Wang, M Deisenroth, H Ben Amor, D Vogt, Bernhard Schölkopf and J Peters
In: Robotics: Science and Systems (R:SS 2012)(2013).

A Blind Deconvolution Approach for Pseudo CT Prediction from MR Image Pairs
M Hirsch, M Hofmann, F Mantlik, M Habeck, BJ Pichler and Bernhard Schölkopf
In: 19th IEEE International Conference on Image Processing (ICIP 2012)(2013).

A Brain-Robot Interface for Studying Motor Learning after Stroke
T Meyer, J Peters, D Brötz, TO Zander, Bernhard Schölkopf, SR Soekadar and M Grosse-Wentrup
In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2012)(2012).

Blind Correction of Optical Aberrations
CJ Schuler, M Hirsch, S Harmeling and Bernhard Schölkopf
In: Computer Vision - ECCV 2012(2012).

Investigating the Neural Basis of Brain-Computer Interface (BCI)-based Stroke Rehabilitation
T Meyer, J Peters, TO Zander, D Brötz, SR Soekadar, Bernhard Schölkopf and M Grosse-Wentrup
In: International Conference on NeuroRehabilitation (ICNR) 2012(2012).

Learning from distributions via support measure machines
K Muandet, K Fukumizu, F Dinuzzo and Bernhard Schölkopf
In: Advances in Neural Information Processing Systems 25(2012).

On Causal and Anticausal Learning
Bernhard Schölkopf, D Janzing, J Peters, E Sgouritsa, K Zhang and J Mooij
In: Proceedings of the 29th International Conference on Machine Learning (ICML 2012)(2012).

Recording and Playback of Camera Shake: Benchmarking Blind Deconvolution with a Real-World Database
R Köhler, M Hirsch, B Mohler, Bernhard Schölkopf and S Harmeling
In: Computer Vision - ECCV 2012(2012).

Semi-Supervised Domain Adaptation with Copulas
D Lopez-Paz, JM Hernandez-Lobato and Bernhard Schölkopf
In: Advances in Neural Information Processing Systems 25(2012).

The representer theorem for Hilbert spaces: a necessary and sufficient condition
F Dinuzzo and Bernhard Schölkopf
In: Advances in Neural Information Processing Systems 25(2012).

Kernel methods in medical imaging
G Charpiat, M Hofmann and Bernhard Schölkopf
In: Handbook of Biomedical Imaging (2012) Springer .

Blind Retrospective Motion Correction of MR Images
A Loktyushin, H Nickisch, R Pohmann and Bernhard Schölkopf
Magnetic Resonance in Medicine (MRM) 2012.

Domain Generalization via Invariant Feature Representation
K Muandet, D Balduzzi and Bernhard Schölkopf
In: 30th International Conference on Machine Learning (ICML 2013)(2013).

Structure and Dynamics of Information Pathways in On-line Media
M Gomez Rodriguez, J Leskovec and Bernhard Schölkopf
In: 6th ACM International Conference on Web Search and Data Mining (WSDM 2013)(2013).