We propose a novel unsupervised learning algorithm to extract the layout of an image by learning latent object-related aspects. Unlike traditional image segmentation algorithms th...
The main objective of the course is for students to be able to analyze problems in microeconomic theory at the beginning graduate level. Students successfully completing the course...
Local tag structures have become frequent through Web 2.0: Users "tag" their data without specifying the underlying semantics. Every user annotates items in an individual...
—Visualization has proven to be a powerful and widely-applicable tool for the analysis and interpretation of multivariate data. Most visualization algorithms aim to find a projec...
In this paper we propose a framework for the computational extraction of time characteristics of a single choreographic work. Computational frameworks can aid in revealing nonsali...
Vidyarani M. Dyaberi, Hari Sundaram, Thanassis Rik...