Many approaches to learning classifiers for structured objects (e.g., shapes) use generative models in a Bayesian framework. However, state-of-the-art classifiers for vectorial d...
Background: The development of algorithms to infer the structure of gene regulatory networks based on expression data is an important subject in bioinformatics research. Validatio...
Tim Van den Bulcke, Koen Van Leemput, Bart Naudts,...
Estimating geometric structure from uncalibrated images accurately enough for high quality rendering is difficult. We present a method where only coarse geometric structure is trac...
Vulnerabilities in distributed applications are being uncovered and exploited faster than software engineers can patch the security holes. All too often these weaknesses result fr...
In this demo paper we present the prototype of our fault injection testbed generator. Our tool empowers engineers to generate emulated SOA environments and to program fault injecti...