Stephen Luttrell

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Independent Researcher, Basic Research at QinetiQ Group PLC from 1982-2010, PhD, Theoretical Physics at Cambridge University 1975-1982

research

∙ 05/03/2015

Some Theoretical Properties of a Network of Discretely Firing Neurons

The problem of optimising a network of discretely firing neurons is addr...

Stephen Luttrell, et al. ∙

research

∙ 12/18/2010

Self-Organising Stochastic Encoders

The processing of mega-dimensional data, such as images, scales linearly...

Stephen Luttrell, et al. ∙

research

∙ 12/16/2010

The Development of Dominance Stripes and Orientation Maps in a Self-Organising Visual Cortex Network (VICON)

A self-organising neural network is presented that is based on a rigorou...

Stephen Luttrell, et al. ∙

research

∙ 12/16/2010

Stochastic Vector Quantisers

In this paper a stochastic generalisation of the standard Linde-Buzo-Gra...

Stephen Luttrell, et al. ∙

research

∙ 12/16/2010

Adaptive Cluster Expansion (ACE): A Multilayer Network for Estimating Probability Density Functions

We derive an adaptive hierarchical method of estimating high dimensional...

Stephen Luttrell, et al. ∙

research

∙ 07/06/2006

Modelling the Probability Density of Markov Sources

This paper introduces an objective function that seeks to minimise the a...

Stephen Luttrell, et al. ∙

research

∙ 11/07/2005

Discrete Network Dynamics. Part 1: Operator Theory

An operator algebra implementation of Markov chain Monte Carlo algorithm...

Stephen Luttrell, et al. ∙

research

∙ 10/15/2004

Self-Organised Factorial Encoding of a Toroidal Manifold

It is shown analytically how a neural network can be used optimally to e...

Stephen Luttrell, et al. ∙

research

∙ 10/10/2004

Adaptive Cluster Expansion (ACE): A Hierarchical Bayesian Network

Using the maximum entropy method, we derive the "adaptive cluster expans...

Stephen Luttrell, et al. ∙

research

∙ 08/21/2004

Invariant Stochastic Encoders

The theory of stochastic vector quantisers (SVQ) has been extended to al...

Stephen Luttrell, et al. ∙

research

∙ 08/21/2004

Using Stochastic Encoders to Discover Structure in Data

In this paper a stochastic generalisation of the standard Linde-Buzo-Gra...

Stephen Luttrell, et al. ∙

research

∙ 06/08/2004

Using Self-Organising Mappings to Learn the Structure of Data Manifolds

In this paper it is shown how to map a data manifold into a simpler form...

Stephen Luttrell, et al. ∙