A serious problem in learning probabilistic models is the presence of hidden variables. These variables are not observed, yet interact with several of the observed variables. As s...
Gal Elidan, Noam Lotner, Nir Friedman, Daphne Koll...
This article focuses on the field-to-image registration for TV sports-related image processing through basic geometrical reasoning. We propose a robust automatic line-based method...
Jean-Bernard Hayet, Justus H. Piater, Jacques G. V...
In this paper, an edge-preserving nonlinear iterative regularization-based image resampling method for a single noise-free image is proposed. Several aspects of the resampling alg...
Although a partially observable Markov decision process (POMDP) provides an appealing model for problems of planning under uncertainty, exact algorithms for POMDPs are intractable...
There is currently considerable enthusiasm around the MapReduce (MR) paradigm for large-scale data analysis [17]. Although the basic control flow of this framework has existed in ...
Andrew Pavlo, Erik Paulson, Alexander Rasin, Danie...