In this work a new adaptive fast variational sparse Bayesian learning (V-SBL) algorithm is proposed that is a variational counterpart of the fast marginal likelihood maximization ...
Dmitriy Shutin, Thomas Buchgraber, Sanjeev R. Kulk...
The aim of compressed sensing is to recover attributes of sparse signals using very few measurements. Given an overall bit budget for quantization, this paper demonstrates that th...
Victoria Kostina, Marco F. Duarte, Sina Jafarpour,...
In recent years, several systems have been proposed that learn the rules of a simple card or board game solely from visual demonstration. These systems were constructed for speciï...
Visual Hull (VH) construction from silhouette images is a popular method of shape estimation. The method, also known as Shape-From-Silhouette (SFS), is used in many applications s...
Java programmers can document that the relationship between two objects is unchanging by declaring the field that encodes that relationship to be final. This information can be us...