PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

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PASCAL Network

Full NamePeter Sollich
TitleProfessor
SiteKing's College, London
StatusResearcher
Tel+ 44 20 7848 2875
Fax+ 44 20 7848 2017
WWWwww.mth.kcl.ac.uk/~psollich/

Research Interests
Computational, Information-Theoretic Learning with Statistics
Learning/Statistics & Optimisation
Theory & Algorithms
Speech
Publications

Number of records: 30.

Bayesian approach to feature selection and parameter tuning for Support Vector Machine classifers Carl Gold, Alex Holub and Peter Sollich Article (25 April 2005)
Bayesian nonparametric latent feature models Zoubin Ghahramani, T L Griffiths and Peter Sollich Book Section (2007)
Can Gaussian Process Regression Be Made Robust Against Model Mismatch? Peter Sollich Book Section (01 February 2005)
Clustering and bifurcations in Gaussian mixture models Matthew Urry and Peter Sollich Monograph (November 2009)
Combined PLP-Acoustic Waveform Classification for Robust Phoneme Recognition using Support Vector Machines Jibran Yousafzai, Zoran Cvetkovic, Peter Sollich and Bin Yu Conference or Workshop Item (21 February 2008)
Combined Waveform-Cepstral Representationfor Robust Speech Recognition Matthew Ager, Zoran Cvetkovic and Peter Sollich Conference or Workshop Item Item availablity restricted. (15 February 2011)
Custom-Designed SVM Kernels for Improved Robustness of Phoneme Classification Jibran Yousafzai, Zoran Cvetkovic and Peter Sollich Article (23 February 2009)
Discriminative and generative machine learning approaches towards robust phoneme classification Jibran Yousafzai, Matthew Ager, Zoran Cvetkovic and Peter Sollich Conference or Workshop Item (January 2008)
Evaluating acute medical admissions through emergency departments in Hong Kong: can one adjust for case-mix variation? T H Rainer, Peter Sollich, T Piotrowski, A C C Coolen, B Cheng and C A Graham Article Item not available online. (2012)
Exact learning curves for Gaussian process regression on community random graphs Matthew Urry and Peter Sollich Conference or Workshop Item (December 0011)
Exact learning curves for Gaussian process regression on large random graphs Matthew Urry and Peter Sollich Conference or Workshop Item (December 2010)
Fast Bayesian Support Vector Machine parameter tuning with the Nystrom method Carl Gold and Peter Sollich Article (16 March 2005)
High-Dimensional Linear Representations for Robust Speech Recognition Matthew Ager, Zoran Cvetkovic and Peter Sollich Conference or Workshop Item (31 January 2010)
Improving the Robustness of Phoneme Classification Using Hybrid Features Jibran Yousafzai, Zoran Cvetkovic and Peter Sollich Conference or Workshop Item (13 January 2010)
Improving the Robustness of Phoneme Classification Using Hybrid Features Jibran Yousafzai, Zoran Cvetkovic and Peter Sollich Conference or Workshop Item (13 January 2010)
Kernels and learning curves for Gaussian process regression on random graphs Peter Sollich, Matthew Urry and Camille Coti Conference or Workshop Item Item not available online. (November 2009)
Learning curves for multi-task Gaussian process regression Simon R F Ashton and Peter Sollich Conference or Workshop Item (02 November 2012)
Random walk kernels and learning curves for Gaussian process regression on random graphs Matthew Urry and Peter Sollich Article (2013)
Replica theory for learning curves for Gaussian processes on random graphs Matthew Urry and Peter Sollich Article (2012)
Robust Phoneme Classification: Exploiting The Adaptability of Acoustic Waveform Models Matthew Ager, Zoran Cvetkovic and Peter Sollich Article (23 February 2009)
Robust Phoneme Classification: Exploiting the Adaptability of Acoustic Waveform Models Matthew Ager, Zoran Cvetkovic and Peter Sollich Conference or Workshop Item (24 August 2009)
ROBUSTNESS OF PHONEME CLASSIFICATION USING GENERATIVE CLASSIFIERS: COMPARISON OF THE ACOUSTIC WAVEFORM AND PLP REPRESENTATIONS Matthew Ager, Zoran Cvetkovic, Peter Sollich and Jibran Yousafzai Conference or Workshop Item (08 October 2007)
Robustness of Phoneme Classification using Support Vector Machines: A Comparison between PLP and Acoustic Waveform Representations Jibran Yousafzai, Zoran Cvetkovic, Peter Sollich and Matthew Ager Conference or Workshop Item (19 October 2007)
Robustness of phoneme recognition using Support Vector Machines Lena Khoo, Zoran Cvetkovic and Peter Sollich Conference or Workshop Item (30 October 2005)
Spectra of Empirical Auto-Covariance Matrices Reimer Kuehn and Peter Sollich Article (22 December 2011)
Stable Directed Belief Propagation in Gaussian DAGs using the auxiliary variable trick David Barber and Peter Sollich Conference or Workshop Item (03 June 2005)
Towards robust phoneme classification: Augmentation of PLP models with acoustic waveforms Matthew Ager, Zoran Cvetkovic, Peter Sollich and Bin Yu Conference or Workshop Item (21 February 2008)
Tuning Support Vector Machines for Robust Phoneme Classification with Acoustic Waveforms Jibran Yousafzai, Zoran Cvetkovic and Peter Sollich Conference or Workshop Item (September 2009)
Understanding Gaussian Process Regression Using the Equivalent Kernel Peter Sollich and Christopher Williams Book Section (03 February 2005)
Using the Equivalent Kernel to Understand Gaussian Process Regression Peter Sollich and Christopher Williams Conference or Workshop Item (19 October 2004)

This list was generated on Thu May 23 01:32:37 BST 2013.