We present a distribution-free model of incomplete-information games, both with and without private information, in which the players use a robust optimization approach to contend ...
In the last decade, there has been a massive increase in network research across both the social and physical sciences. In Physics and Mathematics, there have been extensive work o...
In this paper we introduce a novel approach to single view reconstruction using shape grammars. Our approach consists in modeling architectural styles using a set of basic shapes ...
Many segmentation problems in medical imaging rely on accurate modeling and estimation of tissue intensity probability density functions. Gaussian mixture modeling, currently the ...
Visual attributes expose human-defined semantics to object recognition models, but existing work largely restricts their influence to mid-level cues during classifier training....