Clustering algorithms are a useful tool to explore data structures and have been employed in many disciplines. The focus of this paper is the partitioning clustering problem with ...
Maurizio Filippone, Francesco Camastra, Francesco ...
This paper describes methods and data structures used to leverage motion sequences of complex linked figures. We present a technique for interpolating between example motions der...
This paper describes a new variational method for estimating disparity from stereo images. The stereo matching problem is formulated as a convex programming problem in which an ob...
Fitness functions derived for certain white-box test goals can cause problems for Evolutionary Testing (ET), due to a lack of sufficient guidance to the required test data. Often t...
This paper describes several tools related to the Ada language that were developed to support the teaching of a computer graphics course. These tools include an updated and improv...