Recommender Systems, based on collaborative filtering (CF), aim to accurately predict user tastes, by minimising the mean error achieved on hidden test sets of user ratings, afte...
This paper presents a novel method for stereo matching with occlusion handling. In order to estimate optimal cost, we define an energy function and solve the iterative equation w...
Abstract. A new dictionary learning method for exact sparse representation is presented in this paper. As the dictionary learning methods often iteratively update the sparse coeffi...
In this work, we propose an original method of resolution of the shape from shading problem, which is accurate and converges with a few iterations. It relies on two simple ideas. ...
This paper addresses the problem of the optimal design of numerical experiments for the construction of nonlinear surrogate models. We describe a new method, called learner disagre...