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143
Voted
TSP
2010
14 years 10 months ago
2010
Graphical models are a framework for representing and exploiting prior conditional independence structures within distributions using graphs. In the Gaussian case, these models are...
141
Voted
CSCW
2011
ACM
14 years 10 months ago
2011
ACM
This paper describes a qualitative study of how 11 Arab individuals use technology in the context of their longdistance romantic relationships. Our participants’ communication p...
156
Voted
CVPR
2011
IEEE
14 years 7 months ago
2011
IEEE
Spatially-discrete Markov random fields (MRFs) and spatially-continuous variational approaches are ubiquitous in low-level vision, including image restoration, segmentation, opti...
146
Voted
CVPR
2011
IEEE
14 years 7 months ago
2011
IEEE
We propose a new objective function for superpixel segmentation. This objective function consists of two components: entropy rate of a random walk on a graph and a balancing term....
163
Voted
ICASSP
2011
IEEE
14 years 7 months ago
2011
IEEE
Color is a powerful attribute that is used to characterize objects for tracking and other surveillance tasks. Since color is dependent on ambient illumination and the imaging equi...