In this report, we present and evaluate a method of reconstructing three-dimensional (3D) periodic human motion from two-dimensional (2D) motion sequences. Based on a Fourier deco...
Monaural speech segregation is a very challenging problem which has been studied by many researchers. In this paper, we focus on voiced speech segregation. Different strategies ar...
We give an algorithm to model any given multiple stuck-at fault as a single stuck-at fault. The procedure requires insertion of at most ? ? ? modeling gates, when the multiplicity...
Yong Chang Kim, Vishwani D. Agrawal, Kewal K. Salu...
Learning object categories from small samples is a challenging problem, where machine learning tools can in general provide very few guarantees. Exploiting prior knowledge may be ...
Tatiana Tommasi, Francesco Orabona, Barbara Caputo
Abstract. Ensemble methods are popular learning methods that usually increase the predictive accuracy of a classifier though at the cost of interpretability and insight in the deci...