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ADMA
2006
Springer
121views Data Mining» more  ADMA 2006»
16 years 29 days ago
A New Polynomial Time Algorithm for Bayesian Network Structure Learning
We propose a new algorithm called SCD for learning the structure of a Bayesian network. The algorithm is a kind of constraintbased algorithm. By taking advantage of variable orderi...
Sanghack Lee, Jihoon Yang, Sungyong Park
EDCC
2005
Springer
16 years 15 days ago
Efficient Single-Pattern Fault Simulation on Structurally Synthesized BDDs
Abstract. Current paper proposes an efficient alternative for traditional gatelevel fault simulation. The authors explain how Structurally Synthesized Binary Decision Diagrams (SSB...
Jaan Raik, Raimund Ubar, Sergei Devadze, Artur Jut...
IV
2003
IEEE
99views Visualization» more  IV 2003»
16 years 7 days ago
Visual Representation of Database Queries using Structural Similarity
It is often useful to get high-level views of datasets in order to identify areas of interest worthy of further exploration. In relational databases, the high-level view can be de...
Dennis P. Groth
ICCV
2009
IEEE
16 years 12 months ago
Structure- and Motion-adaptive Regularization for High Accuracy Optic Flow
The accurate estimation of motion in image sequences is of central importance to numerous computer vision applications. Most competitive algorithms compute flow fields by minimi...
Andreas Wedel, Daniel Cremers, Thomas Pock, Horst ...
ICIP
2001
IEEE
16 years 8 months ago
Analysis of cloudy structures evolution on meteorological satellite acquisitions
This paper concerns the characterization of clouds on meteorological satellite image sequences through points trajectories. These temporal curves can be computed from the result o...
Dominique Béréziat, Isabelle Herlin,...