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» Causal inference using the algorithmic Markov condition
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ICPR
2008
IEEE
15 years 4 months ago
Optimal feature weighting for the continuous HMM
We propose new Continuous Hidden Markov Model (CHMM) structure that integrates feature weighting component. We assume that each feature vector could include different subsets of f...
Oualid Missaoui, Hichem Frigui
DLOG
2003
14 years 11 months ago
Implementing Matching in ALE--First Results
Matching problems in Description Logics are theoretically well understood, with a variety of algorithms available for different DLs. Nevertheless, still no implementation of a ge...
Sebastian Brandt
JMLR
2012
13 years 7 days ago
Learning Low-order Models for Enforcing High-order Statistics
Models such as pairwise conditional random fields (CRFs) are extremely popular in computer vision and various other machine learning disciplines. However, they have limited expre...
Patrick Pletscher, Pushmeet Kohli
UAI
2004
14 years 11 months ago
On the Choice of Regions for Generalized Belief Propagation
Generalized belief propagation (GBP) has proven to be a promising technique for approximate inference tasks in AI and machine learning. However, the choice of a good set of cluste...
Max Welling
ECCV
2010
Springer
15 years 1 months ago
Lighting and Pose Robust Face Sketch Synthesis
Automatic face sketch synthesis has important applications in law enforcement and digital entertainment. Although great progress has been made in recent years, previous methods onl...