The advent of large scale multi-hop wireless networks highlights problems of fault tolerance and scale in distributed system, motivating designs that autonomously recover from tra...
In this paper, we present a clustering-based tracking algorithm for non-rigid object. Non-rigid object tracking is a challenging task because the target often appears as a concave...
– We address the problem of knee pathology assessment by using screw theory to describe the knee motion and by using the screw representation of the motion as an input to a machi...
Abstract— Data mining constitutes an important class of scientific and commercial applications. Recent advances in data extraction techniques have created vast data sets, which ...
— Data mining is the process of automatically finding implicit, previously unknown, and potentially useful information from large volumes of data. Recent advances in data extrac...