Abstract. In this paper, we present a topological algorithm which allows to ll contours images. The lling problem has been widely treated and it recently appeared that it can alw...
Abstract. This paper presents a new Bayesian approach to hyperspectral image segmentation that boosts the performance of the discriminative classifiers. This is achieved by combin...
Abstract. We present a novel approach to structure learning for graphical models. By using nonparametric estimates to model clique densities in decomposable models, both discrete a...
Abstract. We describe a method of directly extracting a simplified contour surface along with detailed normal maps from volume data in one fast and integrated process. A robust du...
Abstract. Recent research has established the potential for virtual characters to establish rapport with humans through simple contingent nonverbal behaviors. We hypothesized that ...
Jonathan Gratch, Ning Wang, Jillian Gerten, Edward...