In this work we introduce a novel approach to object categorization that incorporates two types of context ? cooccurrence and relative location ? with local appearancebased featur...
Carolina Galleguillos, Andrew Rabinovich, Serge Be...
In this paper we model the components of the compressive sensing (CS) problem, i.e., the signal acquisition process, the unknown signal coefficients and the model parameters for ...
S. Derin Babacan, Rafael Molina, Aggelos K. Katsag...
In a decision-making process, a systematic method to manage and measure negotiation aspects provides crucial information to negotiators and has emerged as a key factor to determin...
We propose a general framework for improving the query processing performance on multi-level memory hierarchies. Our motivation is that (1) the memory hierarchy is an important pe...
Super-resolution (SR) algorithms for compressed video aim at recovering high-frequency information and estimating a high-resolution (HR) image or a set of HR images from a sequenc...