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» Efficient Learning of Relational Object Class Models
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ICCV
2003
IEEE
16 years 5 months ago
Statistical Background Subtraction for a Mobile Observer
Statistical background modelling and subtraction has proved to be a popular and effective class of algorithms for segmenting independently moving foreground objects out from a sta...
Eric Hayman, Jan-Olof Eklundh
150
Voted
ECCV
2008
Springer
16 years 5 months ago
Scale Invariant Action Recognition Using Compound Features Mined from Dense Spatio-temporal Corners
Abstract. The use of sparse invariant features to recognise classes of actions or objects has become common in the literature. However, features are often "engineered" to...
Andrew Gilbert, John Illingworth, Richard Bowden
142
Voted
IJCAI
2001
15 years 4 months ago
Approximate inference for first-order probabilistic languages
A new, general approach is described for approximate inference in first-order probabilistic languages, using Markov chain Monte Carlo (MCMC) techniques in the space of concrete po...
Hanna Pasula, Stuart J. Russell
121
Voted
ARTMED
2006
80views more  ARTMED 2006»
15 years 3 months ago
A formal theory for spatial representation and reasoning in biomedical ontologies
Objective: The objective of this paper is to demonstrate how a formal spatial theory can be used as an important tool for disambiguating the spatial information embodied in biomed...
Maureen Donnelly, Thomas Bittner, Cornelius Rosse
122
Voted
ML
2010
ACM
119views Machine Learning» more  ML 2010»
15 years 1 months ago
A cooperative coevolutionary algorithm for instance selection for instance-based learning
This paper presents a cooperative evolutionary approach for the problem of instance selection for instance based learning. The presented model takes advantage of one of the most r...
Nicolás García-Pedrajas, Juan Antoni...