PASCAL Network

Number of records: 30.

	A fast separability-based feature selection method for high-dimensional remotely-sensed image classification. B. Guo, Bob Damper, Steve Gunn and J. Nelson Article Item not available online. (2008)
	A signal theory approach to support vector classification: The sinc kernel J. D. B. Nelson, Bob Damper, Steve Gunn and B. Guo Article Item not available online. (2009)
	An Artificial Experimenter for Enzymatic Response Characterisation Chris Lovell, Gareth Jones, Steve Gunn and Klaus-Peter Zauner Conference or Workshop Item (18 November 2010)
	Autonomous Experimentation: Active Learning for Enzyme Response Characterisation Chris Lovell, Gareth Jones, Steve Gunn and Klaus-Peter Zauner Article Item not available online. (28 August 2010)
	Band Selection for Hyperspectral Image Classification using Mutual Information Baofeng Guo, Steve Gunn, Bob Damper and James Nelson Article Item not available online. (October 2006)
	Characterising Enzymes for Information Processing: Towards an Artificial Experimenter Chris Lovell, Gareth Jones, Steve Gunn and Klaus-Peter Zauner Conference or Workshop Item (26 June 2010)
	Class-Specific Subspace Discriminant Analysis for High-Dimensional Data Charles Bouveyron, S. Girard and Cordelia Schmid Book Section Item not available online. (2006)
	Classifier Combination for Improved Motion Segmentation Ahmad Al-Mazeed, Mark Nixon and Steve Gunn Conference or Workshop Item Item not available online. (2004)
	Combining a Filter Method with SVMs Thomas Navin Lal, Olivier Chapelle and Bernhard Schölkopf Book Section Item not available online. (October 2004)
	Cooperative Information Sharing to Improve Distributed Learning Partha Dutta, Srinandan Dasmahapatra, Steve Gunn, Nick Jennings and Luc Moreau Conference or Workshop Item Item not available online. (June 2004)
	Customizing kernel functions for SVM-based hyperspectral image classification B. Guo, Steve Gunn, Bob Damper and J. D. B. Nelson Article Item not available online. (2008)
	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)
	Embedded Methods Thomas Navin Lal, Olivier Chapelle, J. Weston and A Elisseeff Book Section Item not available online. (20 November 2004)
	Enabling the Discovery of Computational Characteristics of Enzyme Dynamics Gareth Jones, Chris Lovell, Steve Gunn, Hywel Morgan and Klaus-Peter Zauner Conference or Workshop Item Item not available online. (February 2012)
	Ensemble Algorithms for Feature Selection Jeremy Rogers and Steve Gunn Conference or Workshop Item Item not available online. (September 2004)
	Exploration and Exploitation in an Artificial Experimenter Chris Lovell, Klaus-Peter Zauner and Steve Gunn Conference or Workshop Item (25 May 2011)
	Feature Extraction: Foundations and Applications Book Item not available online. (2006)
	Feature Selection for Dimensionality Reduction Dunja Mladenić Book Section Item not available online. (2006)
	Input Uncertainty in Support Vector Machines Jianqiang Yang and Steve Gunn Conference or Workshop Item Item not available online. (September 2004)
	Learning to Rank Images from Eye Movements Kitsuchart Pasupa, Craig Saunders, Sandor Szedmak, Arto Klami, Samuel Kaski and Steve Gunn Conference or Workshop Item Item not available online. (04 October 2009)
	Machine Learning Can Improve Prediction of Severity in Acute Pancreatitis using Admission Values of APACHE II Score and C-Reactive Protein. Callum Pearce, Steve Gunn, Adil Ahmed and Colin Johnson Article Item not available online. (January 2006)
	Memory Reduction Methodology for Distributed Arithmetic Based DWT/ IDWT. A. Acharyya, K. Maharatna, B. Al-Hashimi and Steve Gunn Article Item not available online. (2008)
	Result Analysis of the NIPS 2003 Feature Selection Challenge Isabelle Guyon, Steve Gunn, Asa Ben-Hur and Gideon Dror Conference or Workshop Item Item not available online. (December 2004)
	Signal theory for SVM kernel design with applications to parameter estimation and sequence kernels. J. D. B. Nelson, Bob Damper, Steve Gunn and B. Guo Article Item not available online. (2008)
	Signal Theory for SVM Kernel Parameter Estimation James Nelson, Bob Damper, Steve Gunn and Baofeng Guo Conference or Workshop Item Item not available online. (September 2006)
	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)
	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)
	Towards Improved Theoretical Problems for Autonomous Discovery Chris Lovell and Steve Gunn Conference or Workshop Item Item not available online. (February 2012)

This list was generated on Sun May 19 18:32:45 BST 2013.