This paper presents an unsupervised learning algorithm that can derive the probabilistic dependence structure of parts of an object (a moving human body in our examples) automatic...
We propose a new method for solving structured CSPs which generalizes and improves the Cyclic-Clustering approach [4]. First, the cutset and the tree-decomposition of the constrai...
Abstract. We present a machine learning approach called shape regression machine (SRM) to segmenting in real time an anatomic structure that manifests a deformable shape in a medic...
Buffer overflows have been the most common form of security vulnerability in the past decade. A number of techniques have been proposed to address such attacks. Some are limited t...
Developers of context-aware services, i.e. services that make use of sensory information from the environment of their users, often find testing and demonstrating services to be di...