We consider the problem of predicting a sequence of real-valued multivariate states from a given measurement sequence. Its typical application in computer vision is the task of mo...
Complex human motion sequences (such as dances) are typically analyzed by segmenting them into shorter motion sequences, called gestures. However, this segmentation process is sub...
Motion estimation represents the most computationally intensive task for all efficient motion compensated compression standards. This fact, despite the several eflorts aiming at r...
In this work we present a new string similarity feature, the sparse spatial sample (SSS). An SSS is a set of short substrings at specific spatial displacements contained in the or...
Caches are notorious for their unpredictability. It is difficult or even impossible to predict if a memory access will result in a definite cache hit or miss. This unpredictabilit...