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113
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AUSAI
2004
Springer
15 years 9 months ago
An ACO Algorithm for the Most Probable Explanation Problem
We describe an Ant Colony Optimization (ACO) algorithm, ANT-MPE, for the most probable explanation problem in Bayesian network inference. After tuning its parameters settings, we c...
Haipeng Guo, Prashanth R. Boddhireddy, William H. ...
164
Voted
BMVC
2002
15 years 6 months ago
Adaptive Learning of Statistical Appearance Models for 3D Human Tracking
A likelihood formulation for human tracking is presented based upon matching feature statistics on the surface of an articulated 3D body model. A benefit of such a formulation ove...
Timothy J. Roberts, Stephen J. McKenna, Ian W. Ric...
123
Voted
JMLR
2010
125views more  JMLR 2010»
14 years 10 months ago
Variational Relevance Vector Machine for Tabular Data
We adopt the Relevance Vector Machine (RVM) framework to handle cases of tablestructured data such as image blocks and image descriptors. This is achieved by coupling the regulari...
Dmitry Kropotov, Dmitry Vetrov, Lior Wolf, Tal Has...
174
Voted
JMLR
2012
13 years 6 months ago
Deterministic Annealing for Semi-Supervised Structured Output Learning
In this paper we propose a new approach for semi-supervised structured output learning. Our approach uses relaxed labeling on unlabeled data to deal with the combinatorial nature ...
Paramveer S. Dhillon, S. Sathiya Keerthi, Kedar Be...
107
Voted
3DIM
2003
IEEE
15 years 8 months ago
Solving architectural modelling problems using knowledge
This paper summarizes a series of recent research results made at Edinburgh University based applying domain knowledge of standard shapes and relationships to solve or improve arc...
Robert B. Fisher