This report describes a parametric motion model estimation algorithm. Motivations for the use of such models are, on one hand, their representativeness, which has proved to be eecient in numerous issues such as measurement, segmentation, tracking and interpretation of motion, on the other hand, their compactness and, therefore, the low computational cost of the estimation of these models. Howev...

Consider a scheduling problem of parallel computations in multiproces-sor systems. Let a parallel program be represented by a task graph, where vertices represent tasks and arcs represent the communications between the tasks. An in-terprocessor communication time incurs when two tasks assigned to two diierent processors have to communicate. Such a scheduling problem has recently been studied in...

Nowadays, programming distributed memory parallel computers (DMPCs) evokes the \no pain, no gain" idea. That is, for a given problem to be solved in parallel, the message passing programming model involves distributing the data and the computations among the processors. While this can be easily feasible for well structured problems, it can become fairly hard on unstructured ones, like sparse ma...

A new generation of diagnostics leading to presymptomatic detection of genetic predisposition has grown out of the human genome project. Genetic and positional cloning approaches have identified a number of genes in which inherited mutations predispose to various disorders and syndromes, including specific cancers. Strongly predisposing alÃ-eles, "genes," have been identified for colon cancer, ...