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ML
2002
ACM
163views Machine Learning» more  ML 2002»
14 years 9 months ago
Structural Modelling with Sparse Kernels
A widely acknowledged drawback of many statistical modelling techniques, commonly used in machine learning, is that the resulting model is extremely difficult to interpret. A numb...
Steve R. Gunn, Jaz S. Kandola
ACCV
2010
Springer
14 years 4 months ago
Towards Full 3D Helmholtz Stereovision Algorithms
Helmholtz stereovision methods are limited to binocular stereovision or depth maps reconstruction. In this paper, we extend these methods to recover the full 3D shape of the object...
Amaël Delaunoy, Emmanuel Prados, Peter N. Bel...
BMCBI
2007
130views more  BMCBI 2007»
14 years 10 months ago
HMM-ModE - Improved classification using profile hidden Markov models by optimising the discrimination threshold and modifying e
Background: Profile Hidden Markov Models (HMM) are statistical representations of protein families derived from patterns of sequence conservation in multiple alignments and have b...
Prashant K. Srivastava, Dhwani K. Desai, Soumyadee...
ISBI
2011
IEEE
14 years 1 months ago
Automatic pancreas segmentation in contrast enhanced CT data using learned spatial anatomy and texture descriptors
Pancreas segmentation in 3-D computed tomography (CT) data is of high clinical relevance, but extremely difficult since the pancreas is often not visibly distinguishable from the...
Marius Erdt, Matthias Kirschner, Klaus Drechsler, ...
COGSCI
2008
90views more  COGSCI 2008»
14 years 9 months ago
Using fMRI to Test Models of Complex Cognition
This article investigates the potential of fMRI to test assumptions about different components in models of complex cognitive tasks. If the components of a model can be associated...
John R. Anderson, Cameron S. Carter, Jon M. Fincha...