The hierarchical Dirichlet process hidden Markov model (HDP-HMM) is a flexible, nonparametric model which allows state spaces of unknown size to be learned from data. We demonstra...
Emily B. Fox, Erik B. Sudderth, Michael I. Jordan,...
—Taking advantage of the frequency diversity and multiuser diversity in OFDMA based wireless networks, dynamic subcarrier assignment mechanisms have shown to be able to achieve m...
— In this paper, we address the issues of compliant control of a robot under contact constraints with a goal of using joint space based pattern generators as movement primitives,...
Abstract. This paper proposes a fast method for dense 3-D interpretation to directly estimate a dense map of relative depth and motion from a monocular sequence of images on large ...
Obtaining a digital model of a real-world 3D scene is a challenging task pursued by computer vision and computer graphics. Given an initial approximate 3D model, a popular refinem...
Jeffrey Zhang, Daniel G. Aliaga, Mireille Boutin, ...