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CORR
2011
Springer
174views Education» more  CORR 2011»
14 years 10 months ago
Parameter Learning of Logic Programs for Symbolic-Statistical Modeling
We propose a logical/mathematical framework for statistical parameter learning of parameterized logic programs, i.e. de nite clause programs containing probabilistic facts with a ...
Yoshitaka Kameya, Taisuke Sato
160
Voted
DATE
2008
IEEE
92views Hardware» more  DATE 2008»
16 years 24 days ago
Latch Modeling for Statistical Timing Analysis
—Latch based circuits are widely adopted in high performance circuits. But there is a lack of accurate latch models for doing timing analysis. In this paper, we propose a new lat...
Sean X. Shi, Anand Ramalingam, Daifeng Wang, David...
ACIVS
2007
Springer
16 years 16 days ago
Segmentation of the Human Trachea Using Deformable Statistical Models of Tubular Shapes
Abstract. In this work, we present two active shape models for the segmentation of tubular objects. The first model is built using cylindrical parameterization and minimum descrip...
Romulo Pinho, Jan Sijbers, Toon Huysmans
ICIP
2004
IEEE
16 years 8 months ago
Statistical transformations of frontal models for non-frontal face verification
In the framework of a face verification system using local features and a Gaussian Mixture Model based classifier, we address the problem of non-frontal face verification (when on...
Conrad Sanderson, Samy Bengio
ICPR
2008
IEEE
16 years 7 months ago
Background variability modeling for statistical layout analysis
Geometric layout analysis plays an important role in document image understanding. Many algorithms known in literature work well on standard document images, achieving high text l...
Faisal Shafait, Joost van Beusekom, Daniel Keysers...