We propose a feature selection method that constructs each new feature by analysis of tight error clusters. This is a greedy, time-efficient forward selection algorithm that itera...
In this paper, we study the problem of the fast selection of video objects, as an aid for the efficient semi-automatic annotation of video programs. In a regular system, the user ...
Reference picture selection (RPS) is the most common error resilience method for robust transmission over lossy networks. However, RPS has been studied for use in realtime encodin...
We present a new, sophisticated algorithm to select suitable training images for our biologically motivated attention system VOCUS. The system detects regions of interest depending...
In this paper, we present a general and an efficient algorithm for automatic selection of new application-specific instructions under hardware resources constraints. The instructi...
Carlo Galuzzi, Elena Moscu Panainte, Yana Yankova,...