This paper introduces a new similarity measure designed to bring a population of segmented subjects into alignment in a common coordinate system. Our metric aligns each subject wit...
Mathieu De Craene, Aloys du Bois d'Aische, Beno&ic...
Ranking documents in a selected corpus plays an important role in information retrieval systems. Despite notable advances in this direction, with continuously accumulating text do...
Byung-Hoon Park, Nagiza F. Samatova, Rajesh Munava...
Abstract. The event-condition-action (ECA) paradigm holds enormous potential in pervasive computing environments. However, the problem of reliable delivery of event data, generated...
Recent studies in patch-based Gaussian Mixture Model (GMM) approaches for face age estimation present promising results. We propose using a hidden Markov model (HMM) supervector t...
Xiaodan Zhuang, Xi Zhou, Mark Hasegawa-Johnson, Th...
Gaussian Mixture Model (GMM) is one of the most popular data clustering methods which can be viewed as a linear combination of different Gaussian components. In GMM, each cluster ...