Abstract. In this paper we propose a probabilistic framework that models shape variations and infers dense and detailed 3D shapes from a single silhouette. We model two types of sh...
The focus of this paper reports a collaborative effort with the State of New Jersey in designing and building a human-centered e-government portal to support small and medium size...
With the availability of affordable sensors and sensor networks, sensor-based human-activity recognition has attracted much attention in artificial intelligence and ubiquitous comp...
Testers often represent systems under test in input parameter models. These contain parameters with associated values. Combinations of parameter values, with one value for each pa...
We consider the problem of predicting a sequence of real-valued multivariate states from a given measurement sequence. Its typical application in computer vision is the task of mo...