Methods for content-based similarity search are fundamental for managing large multimedia repositories, as they make it possible to conduct queries for similar content, and to orga...
Benjamin Bustos, Daniel A. Keim, Dietmar Saupe, To...
Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...
Determining if a solution is optimal or near optimal is fundamental in optimization theory, algorithms, and computation. For instance, Karush-Kuhn-Tucker conditions provide necessa...
Matting refers to the problem of accurate foreground estimation in images and video. It is one of the key techniques in many image editing and film production applications, thus ...
Abstract. Simulating and controlling physiological phenomena are complex tasks to tackle. This is due to the fact that physiological processes are usually described by a set of par...