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CVPR
2003
IEEE
16 years 1 months ago
Nonparametric Belief Propagation
In many applications of graphical models arising in computer vision, the hidden variables of interest are most naturally specified by continuous, non-Gaussian distributions. There...
Erik B. Sudderth, Alexander T. Ihler, William T. F...
IPL
2008
89views more  IPL 2008»
14 years 12 months ago
On the tractability of coloring semirandom graphs
As part of the efforts put in understanding the intricacies of the k-colorability problem, different distributions over k-colorable graphs were analyzed. While the problem is notor...
Julia Böttcher, Dan Vilenchik
PASTE
2004
ACM
15 years 5 months ago
Resolving and applying constraint queries on context-sensitive analyses
A context-sensitive analysis is an analysis in which program elements are assigned sets of properties that depend upon the context in which they occur. For analyses on imperative ...
James Ezick
COMPGEOM
2011
ACM
14 years 3 months ago
Comparing distributions and shapes using the kernel distance
Starting with a similarity function between objects, it is possible to define a distance metric (the kernel distance) on pairs of objects, and more generally on probability distr...
Sarang C. Joshi, Raj Varma Kommaraju, Jeff M. Phil...
CORR
2007
Springer
126views Education» more  CORR 2007»
14 years 11 months ago
Dial a Ride from k-forest
The k-forest problem is a common generalization of both the k-MST and the dense-k-subgraph problems. Formally, given a metric space on n vertices V , with m demand pairs ⊆ V × ...
Anupam Gupta, MohammadTaghi Hajiaghayi, Viswanath ...