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JMLR
2010
149views more  JMLR 2010»
13 years 2 months ago
Learning Bayesian Network Structure using LP Relaxations
We propose to solve the combinatorial problem of finding the highest scoring Bayesian network structure from data. This structure learning problem can be viewed as an inference pr...
Tommi Jaakkola, David Sontag, Amir Globerson, Mari...
CVPR
2012
IEEE
11 years 10 months ago
Linear solution to scale invariant global figure ground separation
We propose a novel linear method for scale invariant figure ground separation in images and videos. Figure ground separation is treated as a superpixel labeling problem. We optim...
Hao Jiang
ISSTA
2009
ACM
14 years 2 months ago
Precise pointer reasoning for dynamic test generation
Dynamic test generation consists of executing a program while gathering symbolic constraints on inputs from predicates encountered in branch statements, and of using a constraint ...
Bassem Elkarablieh, Patrice Godefroid, Michael Y. ...
SIGGRAPH
1992
ACM
13 years 11 months ago
Interval analysis for computer graphics
This paper discusses how interval analysis can be used to solve a wide variety of problems in computer graphics. These problems include ray tracing, interference detection, polygo...
John M. Snyder
CCS
2006
ACM
13 years 11 months ago
EXE: automatically generating inputs of death
This paper presents EXE, an effective bug-finding tool that automatically generates inputs that crash real code. Instead of running code on manually or randomly constructed input,...
Cristian Cadar, Vijay Ganesh, Peter M. Pawlowski, ...