PASCAL Researchers

Multiclass classification by L1 norm Support Vector Machine Sandor Szedmak, John Shawe-Taylor, Craig .J. Saunders and David .R. Hardoon Conference or Workshop Item (04 May 2004)

On Maximum Margin Hierarchical Multilabel Classification Juho Rousu, Craig Saunders, Sandor Szedmak and John Shawe-Taylor Conference or Workshop Item (01 November 2004)

Support Vector Machine to Synthesise Kernels Hongying Meng, John Shawe-Taylor, Sandor Szedmak and Jason Farquhar Book Section (2005)

A comparison of variational and Markov Chain Monte Carlo methods for inference in partially observed stochastic dynamic systems. Yuan Shen, Cedric Archambeau, Dan Cornford, Manfred Opper, John Shawe-Taylor and Remi Barillec Article Item not available online. (2009)

A Correlation Approach for Automatic Image Annotation David Hardoon, Craig Saunders, Sandor Szedmak and John Shawe-Taylor Conference or Workshop Item (26 May 0006)

A Framework for Probability Density Estimation John Shawe-Taylor and Alexander N. Dolia Conference or Workshop Item (18 October 2006)

A Framework for Probability Density Estimation John Shawe-Taylor and Alexander Dolia Conference or Workshop Item (21 March 2007)

A Kernel Canonical Correlation Analysis for Learning the Semantics of Text Blaz Fortuna, Nello Cristianini and John Shawe-Taylor Book Section Item not available online. (January 2007)

A Kernel Regression Framework for SMT Zhuoran Wang and John Shawe-Taylor Article Item not available online. (2010)

A Nonconformity Approach to Model Selection for SVMs David Hardoon, Zakria Hussain and John Shawe-Taylor Monograph Item availablity restricted. (01 February 2009)

Accounting for Voxel Neighbourhood Relationship in the SVM David Hardoon, Janaina Mourão-Miranda, Vanessa Rocha Rego and John Shawe-Taylor Conference or Workshop Item (2008)

Advances in Neural Information Processing Systems 23 Book Item not available online. (December 2010)

AN INVESTIGATION OF FEATURE MODELS FOR MUSIC GENRE CLASSIFICATION USING THE SUPPORT VECTOR CLASSIFIER John Shawe-Taylor and Anders Meng Conference or Workshop Item Item availablity restricted. (2005)

An Investigation of Feature Models for Music Genre Classification using the Support Vector Classifier Anders Meng and John Shawe-Taylor Conference or Workshop Item Item availablity restricted. (25 April 2005)

Ants and graph coloring John Shawe-Taylor and Janez Žerovnik Article (2004)

Bounding the k-family-wise error rate using resampling methods Tijl De Bie and John Shawe-Taylor Conference or Workshop Item (15 May 2007)

Can Eyes Reveal Interest? Implicit Queries from Gaze Patterns Antti Ajanki, David Hardoon, Samuel Kaski, Kai Puolamäki and John Shawe-Taylor Article (2009)

Can eyes reveal interest? Implicit queries from gaze patterns Antti Ajanki, David Hardoon, Samuel Kaski, Kai Puolamäki and John Shawe-Taylor Article Item availablity restricted. (2009)

Can style be learned? A machine learning approach towards ‘performing’ as famous pianists Louis Dorard, David Hardoon and John Shawe-Taylor Conference or Workshop Item (07 December 2007)

Canonical Correlation Analysis: An Overview with Application to Learning Methods David Hardoon, Sandor Szedmak and John Shawe-Taylor Article Item not available online. (December 2004)

Class-Specific Subspace Discriminant Analysis for High-Dimensional Data Charles Bouveyron, S. Girard and Cordelia Schmid Book Section Item not available online. (2006)

Combining Clustering with Canonical Correlation Analysis for Cross-Language Patent Retrieval Yaoyong Li and John Shawe-Taylor Conference or Workshop Item (28 January 2004)

Convergence Analysis of Kernel Canonical Correlation Analysis: Theory and Practice David Hardoon and John Shawe-Taylor Article (2009)

Data Dependent Priors in PAC-Bayes Bounds John Shawe-Taylor, Emilio Parrado-Hernandez and Amiran Ambroladze Conference or Workshop Item (22 August 2010)

Data mining, data fusion, and information management John Shawe-Taylor, Tijl De Bie and Nello Cristianini Article Item not available online. (September 2006)

Decomposing the Tensor Kernel Support Vector Machine for Neuroscience Data with Structure Labels David Hardoon and John Shawe-Taylor Article (2009)

Efficient algorithms for max-margin structured classification Juho Rousu, Craig Saunders, Sandor Szedmak and John Shawe-Taylor Book Section Item not available online. (2007)

Efficient algorithms for max-margin structured classification Craig Saunders, Sandor Szedmak, John Shawe-Taylor and Juho Rousu Book Section Item availablity restricted. (30 June 2006)

Efficient Computation of Gap-weighted String Kernels on Large Alphabets Juho Rousu and John Shawe-Taylor Conference or Workshop Item (28 January 2004)

Efficient Computation of Gapped Substring Kernels on Large Alphabets Juho Rousu and John Shawe-Taylor Article Item availablity restricted. (02 June 2004)

Efficient Multi-start Strategies for Local Search Algorithms Levente Kocsis and Andras Gyorgy Book Section Item not available online. (28 August 2009)

Efficient Sparse Kernel Feature Extraction Based on Partial Least Squares Charanpal Dhanjal, Steve Gunn and John Shawe-Taylor Article Item not available online. (June 2008)

Efficient Sparse Kernel Feature Extraction Based on Partial Least Squares. Charanpal Dhanjal, Steve Gunn and John Shawe-Taylor Article Item not available online. (2008)

Evaluation of Variational and Markov Chain Monte Carlo Methods for Inference in Partially Observed Stochastic Dynamic Systems Yuan Shen, Cedric Archambeau, Dan Cornford, Manfred Opper, John Shawe-Taylor and Remi Barillec Conference or Workshop Item Item availablity restricted. (August 2007)

Exploiting the Prior in the PAC-Bayes Bound Emilio Parrado-Hernandez, John Shawe-Taylor and Amiran Ambroladze Monograph Item availablity restricted. (08 June 2007)

Exploration-Exploitation of Eye Movement Enriched Multiple Feature Spaces for Content-Based Image Retrieval Zakria Hussain, Alex Leung, Kitsuchart Pasupa, David Hardoon, Peter Auer and John Shawe-Taylor Conference or Workshop Item (20 September 2010)

Extracting Diagnoses and Investigation Results from Unstructured Text in Electronic Health Records by Semi-Supervised Machine Learning Zhuoran Wang, Anoop Shah, A. Rosemary Tate, Spiros Denaxas, John Shawe-Taylor and Harry Hemingway Article (19 January 2012)

Feature Selection for Dimensionality Reduction Dunja Mladenić Book Section Item not available online. (2006)

Gaussian Process Approximations of Stochastic Differential Equation Cedric Archambeau, Dan Cornford, Manfred Opper and John Shawe-Taylor Article (2007)

Gaussian Process Approximations of Stochastic Differential Equations Cedric Archambeau, Dan Cornford, Manfred Opper and John Shawe-Taylor Conference or Workshop Item (13 June 2006)

Gaussian Process Approximations of Stochastic Differential Equations Cedric Archambeau, Dan Cornford, Manfred Opper and John Shawe-Taylor Article Item not available online. (2007)

Generic object recognition by combining distinct features in machine learning Hongying Meng, David Hardoon, John Shawe-Taylor and Sandor Szedmak Conference or Workshop Item Item availablity restricted. (16 January 2005)

GLM and SVM Analyses of Neural Response to Tonal and Atonal Stimuli: New Techniques and A Comparison Simon Durrant, David Hardoon, Andre Brechmann, John Shawe-Taylor, Edurado Miranda and Henning Scheich Article Item not available online. (2008)

GRAVITATIONAL LENSING ACCURACY TESTING 2010 (GREAT10) CHALLENGE HANDBOOK Thomas Kitching, Adam Amara, Mondeep Gill, Stefan Harmeling, Catherine Heymans, Richard Massey, Barnaby Rowe, Tim Schrabback, Lisa Voigt, Sreekumar Balan, Gary Bernstein, Matthias Bethge, Sarah Bridle, Frederic Courbin, Marc Gentile, Alan Heavens, Michael Hirsch, Reshad Hosseini, Alina Kiessling, Donnacha Kirk, Konrad Kuijken, Rachel Mandelbaum, Baback Moghaddam, Guldariya Rhodes, Bernhard Schölkopf, John Shawe-Taylor, Marina Shmakova, Andy Taylor, Malin Velander, Ludovic van Waerbeke, Dugan Witherick and David Wittman Article Item not available online. (2011)

Gravitational Lensing Accuracy Testing 2010 (GREAT10) Challenge Handbook Thomas Kitching, Adam Amara, Mandeep Gill, Stefan Harmeling, Catherine Heymans, Richard Massey, Barnaby Rowe, Tim Schrabback, Lisa Voigt, Sreekumar Balan, Gary Bernstein, Matthias Bethge, Sarah Bridle, Frederic Courbin, Marc Gentile, Alan Heavens, Michael Hirsch, Reshad Hosseini, Alina Kiessling, Donnacha Kirk, Konrad Kuijken, Rachel Mandelbaum, Baback Moghaddam, Guldariya Nurbaeva, Stephane Paulin-Henriksson, Anais Rassat, Jason Rhodes, Bernhard Schölkopf, John Shawe-Taylor, Marina Shmakova, Andy Taylor, Malin Velander, Ludovic van Waerbeke, Dugan WItherick and David Wittman Article (03 September 2010)

Handbook for the GREAT08 Challenge: An image analysis competition for cosmological lensing S. L. Bridle, John Shawe-Taylor and +29 co-authors from astronomy backgrounds Article Item not available online. (07 August 2008)

Improvements to the Sequence Memoizer Jan Gasthaus and Yee Whye Teh Book Section (2010)

Improving "bag-of-keypoints" image categorisation: Generative Models and PDF-Kernels Jason Farquhar, Sandor Szedmak, Hongying Meng and John Shawe-Taylor Article (2005)

Improving the Confidence of Machine Translation Quality Estimates Lucia Specia, Marco Turchi, Zhuoran Wang, John Shawe-Taylor and Craig Saunders Conference or Workshop Item (August 2009)

Information Retrieval by Inferring Implicit Queries from Eye Movements David Hardoon, John Shawe-Taylor, Antti Ajanki, Kai Puolamäki and Samuel Kaski Conference or Workshop Item (18 October 2006)

KCCA Feature Selection for fMRI Analysis David Hardoon, John Shawe-Taylor and Ola Friman Monograph (25 August 2004)

KCCA for fMRI Analysis David Hardoon, John Shawe-Taylor and Ola Friman Conference or Workshop Item (28 May 2004)

Kernel ellipsoidal trimming Alexander Dolia, Chris Harris, John Shawe-Taylor and Mike Titterington Article (2007)

Kernel methods Nello Cristianini, John Shawe-Taylor and Craig Saunders Book Section Item not available online. (January 2007)

Kernel Methods: A paradigm for Pattern Analysis Craig Saunders, Nello Cristianini and John Shawe-Taylor Book Section Item not available online. (29 January 2007)

Kernel regression based machine translation Zhuoran Wang, John Shawe-Taylor and Sandor Szedmak Conference or Workshop Item (April 2007)

Kernel Regression Framework for Machine Translation: UCL System Description for WMT 2008 Shared Translation Task. Zhuoran Wang and John Shawe-Taylor Conference or Workshop Item (19 June 2008)

Kernel-based Learning of Hierarchical Multilabel Classification Models Juho Rousu, Craig Saunders, Sandor Szedmak and John Shawe-Taylor Article Item availablity restricted. (05 October 2005)

Kernel-based machine translation Zhuoran Wang and John Shawe-Taylor Book Section Item not available online. (February 2009)

Large-Margin Structured Prediction via Linear Programming Zhuoran Wang and John Shawe-Taylor Conference or Workshop Item (April 2009)

Learning Hierarchical Multi-Category Text Classification Models Juho Rousu, Craig Saunders, Sandor Szedmak and John Shawe-Taylor Conference or Workshop Item (29 May 2005)

Learning Hierarchies at Two-class Complexity Sandor Szedmak, Craig Saunders, John Shawe-Taylor and Juho Rousu Conference or Workshop Item (10 December 2005)

Learning relevant eye movement feature spaces across users Zakria Hussain, Kitsuchart Pasupa and John Shawe-Taylor Conference or Workshop Item Item not available online. (22 March 2009)

Learning Relevant Eye MovementFeature Spaces Across Users Zakria Hussain, Kitsuchart Pasupa and John Shawe-Taylor Conference or Workshop Item Item not available online. (March 2010)

Learning the prior for the PAC-Bayes bound Amiran Ambroladze, Emilio Parrado-Hernandez and John Shawe-Taylor Monograph (15 October 2004)

Learning via Linear Operators: Maximum Margin Regression Sandor Szedmak, John Shawe-Taylor and Emilio Parado-Hernandez Monograph (10 January 2006)

Linear Programming Boosting for the Classification of Musical Genre Tom Diethe and John Shawe-Taylor Conference or Workshop Item (2007)

Linear Programming Boosting for Uneven Datasets Jure Leskovec and John Shawe-Taylor Conference or Workshop Item (28 January 2004)

Margin based Transductive Graph Cuts using Linear Programming Kristiaan Pelckmans, John Shawe-Taylor, Johan Suykens and Bart De Moor Conference or Workshop Item (March 2007)

Matching Pursuit Kernel Fisher Discriminant Analysis Tom Diethe, Zakria Hussain, David Hardoon and John Shawe-Taylor Conference or Workshop Item (2009)

Metric Entropy and Gaussian Bandits Steffen Grunewalder, Jean-Yves Audibert, Manfred Opper and John Shawe-Taylor Conference or Workshop Item Item not available online. (December 2009)

Mixture of Vector Experts Matthew Henderson, John Shawe-Taylor and Janez Žerovnik Article Item not available online. (2005)

Multiclass Learning at One-Class Complexity Sandor Szedmak and John Shawe-Taylor Monograph (19 August 2005)

Multiview Learning with Labels Tom Diethe, David Hardoon and John Shawe-Taylor Conference or Workshop Item (2008)

NEW FEATURE SELECTION FRAMEWORKS IN EMOTION RECOGNITION TO EVALUATE THE INFORMATIVE POWER OF SPEECH RELATED FEATURES Halis Altun, John Shawe-Taylor and Gokhan Polat Conference or Workshop Item Item availablity restricted. (February 2007)

On the Eigenspectrum of the Gram Matrix and the Generalisation Error of Kernel PCA John Shawe-Taylor, Christopher Williams, Nello Cristianini and Jaz Kandola Article (2004)

PAC-Bayes Analysis of Maximum Entropy Learning John Shawe-Taylor and David Hardoon Conference or Workshop Item (2008)

PAC-Bayes Bounds with Data Dependent Priors Emilio Parrado-Hernandez, John Shawe-Taylor, Amiran Ambroladze and Shiliang Sun Article Item not available online. (December 2012)

PAC-Bayes-Bernstein Inequality for Martingales and its Application to Multiarmed Bandits Yevgeny Seldin, Nicolò Cesa-Bianchi, Peter Auer, François Laviolette and John Shawe-Taylor Article (02 May 2012)

PAC-Bayes-Bernstein inequality for martingales and its application to multiarmed bandits Yevgeny Seldin, Nicolò Cesa-Bianchi, Peter Auer, Francois Laviolette and John Shawe-Taylor Conference or Workshop Item (2012)

PAC-Bayesian Analysis of Contextual Bandits Yevgeny Seldin, Peter Auer, François Laviolette, John Shawe-Taylor and Ronald Ortner Conference or Workshop Item (December 2011)

PAC-Bayesian Analysis of Martingales and Multiarmed Bandits Yevgeny Seldin, François Laviolette, John Shawe-Taylor, Jan Peters and Peter Auer Monograph (19 May 2011)

PAC-Bayesian Analysis of the Exploration-Exploitation Trade-off Yevgeny Seldin, Nicolò Cesa-Bianchi, François Laviolette, Peter Auer, John Shawe-Taylor and Jan Peters Conference or Workshop Item (20 May 2011)

PAC-Bayesian Inequalities for Martingales Yevgeny Seldin, François Laviolette, Nicolò Cesa-Bianchi, John Shawe-Taylor and Peter Auer Article Item not available online. (December 2012)

Pascal Workshop, Complex Objects Visualization 2005 - COV2005, Proceedings Tomaž Pisanski, Boris Horvat, Janez Žerovnik, Dunja Mladenić, Marko Grobelnik, Tina Anžič and Smiljana Škvarč Book Item not available online. (23 November 2006)

Pattern analysis for the prediction of fungal pro-peptide cleavage sites Sureyya Ozogur, John Shawe-Taylor, G.W. Weber and Z.B. Ögel Article (11 June 2008)

Pinview: Implicit Feedback in Content-Based Image Retrieval Peter Auer, Zakria Hussain, Samuel Kaski, Arto Klami, Jussi Kujala, Jorma Laaksonen, Alex Leung, Kitsuchart Pasupa and John Shawe-Taylor Book Section (2010)

Pinview: Implicit Feedback in Content-Based Image Retrieval Peter Auer, Zakria Hussain, Samuel Kaski, Arto Klami, Jussi Kujala, Jorma Laaksonen, Alex Leung, Kitsuchart Pasupa and John Shawe-Taylor Conference or Workshop Item (25 June 2010)

Pinview: Implicit Feedback in Content-Based Image Retrieval Peter Auer, Zakria Hussain, Samuel Kaski, Arto Klami, Jussi Kujala, Jorma Laaksonen, Alex Leung, Kitsuchart Pasupa and John Shawe-Taylor Conference or Workshop Item (01 September 2010)

Prediction with the SVM using test point margins Sureyya Ozogur, Zakria Hussain and John Shawe-Taylor Book Section (31 January 2008)

Prediction with the SVM using test point margins Sureyya Ozogur-Akyuz, Zakria Hussain and John Shawe-Taylor Article Item not available online. (2009)

Rademacher analysis of infimum classifiers Amiran Ambroladze, Emilio Parrado-Hernandez and John Shawe-Taylor Monograph Item availablity restricted. (03 February 2005)

Regret Bounds for Gaussian Process Bandit Problems Steffen Grunewalder, Jean-Yves Audibert, Manfred Opper and John Shawe-Taylor Conference or Workshop Item Item not available online. (2010)

Results of the GREAT08 Challenge: An image analysis competition for cosmological lensing Sarah Bridle, Sreekumar T. Balan, Matthias Bethge, Marc Gentile, Stefan Harmeling, Catherine Heymans, Michael Hirsch, Reshad Hosseini, Mike Jarvis, Donnacha Kirk, Thomas Kitching, Konrad Kuijken, Antony Lewis, Stephane Paulin-Henriksson, Bernhard Schölkopf, Malin Velander, Lisa Voigt, Dugan Witherick, Adam Amara, Gary Bernstein, Ferderic Courbin, Mandeep Gill, Alan Heavens, Rachel Mandelbaum, Richard Massey, Baback Moghaddam, Anais Rassat, Alexandre Refregier, Jason Rhodes, Tim Schrabback, John Shawe-Taylor, Marina Shmakova, Ludovic van Waerbeke and David Wittman Article Item not available online. (2010)

Retrieving Keyword's to an Image Query using Kernel CCA David R. Hardoon, Sandor Szedmak and John Shawe-Taylor Monograph (04 June 2004)

Revised Loss Bounds for the Set Covering Machine and Sample-Compression Loss Bounds for Imbalanced Data Zakria Hussain, Francois Laviolette, Mario Marchand, John Shawe-Taylor, Spencer Charles Brubaker and Matthew D Mullin Article (November 2007)

Semantic Text Features from Small World Graphs Jure Leskovec and John Shawe-Taylor Conference or Workshop Item (February 2005)

Semi-Supervised Feature Learning from Clinical Text Zhuoran Wang, John Shawe-Taylor and Anoop Shah Conference or Workshop Item Item not available online. (December 2010)

Signal Extraction for Brain-Computer Interface David Hardoon and John Shawe-Taylor Conference or Workshop Item (22 November 2003)

Signal Extraction for Brain-Computer Interface David Hardoon and John Shawe-Taylor Conference or Workshop Item (12 December 2003)

Sparse Canonical Correlation Analysis David Hardoon and John Shawe-Taylor Conference or Workshop Item Item not available online. (2008)

Sparse Canonical Correlation Analysis David Hardoon and John Shawe-Taylor Monograph (2007)

Sparse Canonical Correlation Analysis for Biomarker Discovery : A Case Study in Tuberculosis Juho Rousu, Daniel D. Agranoff, John Shawe-Taylor and Delmiro Fernandez-Reyes Conference or Workshop Item Item availablity restricted. (20 July 2011)

Sparse CCA for Bilingual Word Generation David Hardoon and John Shawe-Taylor Conference or Workshop Item Item not available online. (27 November 2007)

Sparse Feature Extraction using Generalised Partial Least Squares Charanpal Dhanjal, Steve Gunn and John Shawe-Taylor Conference or Workshop Item Item not available online. (September 2006)

Sparse Semi-supervised Learning Using Conjugate Functions John Shawe-Taylor and Shiliang Sun Article (September 2010)

Stability Analysis of Kernel Canonical Correlation Analysis: Theory and Practice David Hardoon and John Shawe-Taylor Monograph (April 2007)

Stability Analysis of Kernel Canonical Correlation Analysis: Theory and Practice David Hardoon and John Shawe-Taylor Article (08 October 2009)

Statistical Properties of Kernel Principal Component Analysis Olivier Bousquet, Laurent Zwald and Gilles Blanchard Conference or Workshop Item (July 2004)

Subspace, Latent Structure and Feature Selection techniques Book Item not available online. (2006)

Subspace, Latent Structure and Feature Selection, Statistical and Optimization Perspectives Book Item not available online. (20 May 2006)

Support Vector Machine to synthesise kernels Hongying Meng, John Shawe-Taylor, Sandor Szedmak and Jason Farquhar Conference or Workshop Item Item not available online. (07 September 2004)

Synthesis of Maximum Margin and Multiview Learning using Unlabeled Data Sandor Szedmak and John Shawe-Taylor Conference or Workshop Item Item not available online. (26 April 2006)

Text Categorization via Ellipsoid Separation Andriy Kharechko, John Shawe-Taylor, Ralf Herbrich and Thore Graepel Conference or Workshop Item (28 January 2004)

The 2005 PASCAL Visual Object Classes Challenge Mark Everingham, Andrew Zisserman, Christopher Williams, Luc Van Gool, Moray Allan, Chris Bishop, Olivier Chapelle, Navneet Dalal, Thomas Deselaers, Gyorgy Dorko, Stefan Duffner, Jan Eichhorn, Jason Farquhar, Mario Fritz, Christophe Garcia, Tom Griffiths, Frederic Jurie, Daniel Keysers, Markus Koskela, Jorma Laaksonen, Diane Larlus, Bastian Leibe, Hongying Meng, Hermann Ney, Bernt Schiele, Cordelia Schmid, Edgar Seemann, John Shawe-Taylor, Amos Storkey, Sandor Szedmak, William Triggs, Ilkay Ulusoy, Ville Viitaniemi and Jianguo Zhang Book Section (2006)

The Double-Barrelled LASSO David Hardoon and John Shawe-Taylor Conference or Workshop Item (2008)

The Linear Programming Set Covering Machine Zakria Hussain, Sandor Szedmak and John Shawe-Taylor Other (01 June 2004)

The Minimum Volume Covering Ellipsoid Estimation in Kernel-Defined Feature Spaces Alexander Dolia, Tijl De Bie, Chris Harris, John Shawe-Taylor and Mike Titterington Conference or Workshop Item (18 September 2006)

The use of machine translation tools for cross-lingual text mining Blaz Fortuna and John Shawe-Taylor Conference or Workshop Item (August 2005)

Theory of matching pursuit Zakria Hussain and John Shawe-Taylor Conference or Workshop Item (2008)

Tighter PAC-Bayes Bounds Amiran Ambroladze, Emilio Parrado-Hernandez and John Shawe-Taylor Article Item availablity restricted. (2007)

transLectures: Transcription and Translation of Video Lectures Alfons Juan, Jorge Civera, Jesús Andrés-Ferrer, Nicola Cancedda, Mitja Jermol, Davor Orlic, John Shawe-Taylor, Hermann Ney, Marion Mast and Yota Georgakopoulou Conference or Workshop Item Item not available online. (2012)

Two view learning: SVM-2K, Theory and Practice Jason Farquhar, David Hardoon, Hongying Meng, John Shawe-Taylor and Sandor Szedmak Conference or Workshop Item (06 December 2005)

Unsupervised analysis of fMRI data using Kernel Canonical Correlation David Hardoon, Janaina Mourao-Miranda, Michael Brammer and John Shawe-Taylor Article Item availablity restricted. (22 February 2007)

Unsupervised fMRI Analysis David Hardoon, Janaina Mourao-Miranda, Michael Brammer and John Shawe-Taylor Conference or Workshop Item (18 October 2006)

Using Fisher Kernels and Hidden Markov Models for the Identification of Famous Composers from their Sheet Music David Hardoon, Craig Saunders and John Shawe-Taylor Monograph Item availablity restricted. (2005)

Using generalization error bounds to train the set covering machine Zakria Hussain and John Shawe-Taylor Article (01 June 2007)

Using Image Stimuli to Drive fMRI Analysis David Hardoon, Janaina Mourao-Miranda, Michael Brammer and John Shawe-Taylor Conference or Workshop Item (May 2007)

Using KCCA for Japanese-English cross-language information retrieval and classification Yaoyong Li and John Shawe-Taylor Article (2005)

Using String Kernels to Identify Famous Performers from their Playing Style Craig Saunders, David Hardoon, John Shawe-Taylor and Gerhard Widmer Conference or Workshop Item (26 April 2004)

Using String Kernels to Identify Famous Performers from their Playing Style Craig Saunders, David Hardoon, John Shawe-Taylor and Gerhard Widmer Article Item availablity restricted. (September 2005)

Using String Kernels to Identify Famous Performers from their Playing Style Craig Saunders, David Hardoon, John Shawe-Taylor and Gerhard Widmer Book Section (31 May 2006)

Using String Kernels to Identify Famous Performers from their Playing Style Craig Saunders, David Hardoon, John Shawe-Taylor and Gerhard Widmer Article Item availablity restricted. (14 June 2007)

Using String Kernels to Identify Famous Performers from their Playing Style Craig Saunders, David Hardoon, John Shawe-Taylor and Gerhard Widmer Article (2008)

Using String Kernels to Identify Famous Performers from their Playing Style Craig Saunders, David Hardoon, John Shawe-Taylor and Gerhard Widmer Article Item availablity restricted. (2008)

Variational Inference for Diffusion Processes Cedric Archambeau, Manfred Opper, Yuan Shen, Dan Cornford and John Shawe-Taylor Conference or Workshop Item (December 2007)

Variational Inference for Diffusion Processes Cedric Archambeau, Manfred Opper, Yuan Shen, Dan Cornford and John Shawe-Taylor Article (2007)

PASCAL Network