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MA
2011
Springer
219views Communications» more  MA 2011»
12 years 11 months ago
Quadratic minimisation problems in statistics
We consider the problem minx(x−t) A(x−t) subject to x Bx + 2b x = k where A is positive definite or positive semidefinite. Commonly occurring statistical variants of this pro...
Casper J. Albers, Frank Critchley, John C. Gower
ESSMAC
2003
Springer
13 years 9 months ago
Self-tuning Control of Non-linear Systems Using Gaussian Process Prior Models
Gaussian Process prior models, as used in Bayesian non-parametric statistical models methodology are applied to implement a nonlinear adaptive control law. The expected value of a...
Daniel Sbarbaro, Roderick Murray-Smith
ICDAR
2005
IEEE
13 years 10 months ago
Online Character Recognition Based on Elastic Matching and Quadratic Discrimination
We try to link elastic matching with a statistical discrimination framework to overcome the overfitting problem which often degrades the performance of elastic matchingbased onli...
Hiroto Mitoma, Seiichi Uchida, Hiroaki Sakoe
ISBI
2006
IEEE
13 years 10 months ago
Consistent spherical parameterisation for statistical shape modelling
We have described previously a method of automatically constructing statistical models of shape. The method treats model-building as an optimisation problem by re-parameterising ea...
Rhodri H. Davies, Carole J. Twining, Christopher J...
BMVC
2001
13 years 7 months ago
An Information Theoretic Approach to Statistical Shape Modelling
Statistical shape models have been used widely as a basis for segmenting and interpreting images. A major drawback of the approach is the need to establish a set of dense correspo...
Rhodri H. Davies, Timothy F. Cootes, Carole J. Twi...