PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

EPrints submitted by John Shawe-Taylor

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Number of EPrints submitted by this user: 7

On the Eigenspectrum of the Gram Matrix and the Generalisation Error of Kernel PCA
John Shawe-Taylor, Christopher Williams, Nello Cristianini and Jaz Kandola
IEEE Transactions on Information Theory 239, 2004. ISSN 0018-9448

Using KCCA for Japanese-English cross-language information retrieval and classification
Yaoyong Li and John Shawe-Taylor
Journal of Intelligent Information Systems Volume tba, Number tba, 2005. ISSN Print: 0925-9902 Electronic: 1573-7675

AN INVESTIGATION OF FEATURE MODELS FOR MUSIC GENRE CLASSIFICATION USING THE SUPPORT VECTOR CLASSIFIER
John Shawe-Taylor and Anders Meng
In: ISMIR 2005, 6th International Conference on Music Information Retrieval, 11 - 15 September 2005, London, UK.

A Framework for Probability Density Estimation
John Shawe-Taylor and Alexander N. Dolia
In: AISTATS (AI and Statistics), March 21 - 24 2007, Puerto Rico.

A Framework for Probability Density Estimation
John Shawe-Taylor and Alexander Dolia
In: Eleventh International Conference on Artificial Intelligence and Statistics, 21-24 Mar 2007, San Juan, Puerto Rico.

Sparse Semi-supervised Learning Using Conjugate Functions
John Shawe-Taylor and Shiliang Sun
Journal of Machine Learning Research Volume 11, pp. 2423-2455, 2010.

Improving "bag-of-keypoints" image categorisation: Generative Models and PDF-Kernels
Jason Farquhar, Sandor Szedmak, Hongying Meng and John Shawe-Taylor
PASCAL Eprint Series 2005.