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ICPR
2008
IEEE
16 years 28 days ago
Exploiting qualitative domain knowledge for learning Bayesian network parameters with incomplete data
When a large amount of data are missing, or when multiple hidden nodes exist, learning parameters in Bayesian networks (BNs) becomes extremely difficult. This paper presents a lea...
Qiang Ji, Wenhui Liao
POPL
1994
ACM
15 years 3 months ago
Combinations of Abstract Domains for Logic Programming
ions of abstract domains for logic programming: open product and generic pattern construction Agostino Cortesia; , Baudouin Le Charlierb , Pascal Van Hentenryckc aDipartimento di I...
Agostino Cortesi, Baudouin Le Charlier, Pascal Van...
ECCV
2006
Springer
16 years 1 months ago
Gait Recognition Using a View Transformation Model in the Frequency Domain
Gait analyses have recently gained attention as methods of identification of individuals at a distance from a camera. However, appearance changes due to view direction changes caus...
Yasushi Makihara, Ryusuke Sagawa, Yasuhiro Mukaiga...
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COLING
2010
14 years 6 months ago
Two Methods for Extending Hierarchical Rules from the Bilingual Chart Parsing
This paper studies two methods for training hierarchical MT rules independently of word alignments. Bilingual chart parsing and EM algorithm are used to train bitext correspondenc...
Martin Cmejrek, Bowen Zhou
ICCV
2007
IEEE
16 years 1 months ago
Globally Optimal Affine and Metric Upgrades in Stratified Autocalibration
We present a practical, stratified autocalibration algorithm with theoretical guarantees of global optimality. Given a projective reconstruction, the first stage of the algorithm ...
Manmohan Krishna Chandraker, Sameer Agarwal, David...