Rendering performance of consumer graphics hardware benefits from pre-processing geometric data into a form targeted to the underlying API and hardware. The various elements of ge...
Abstract. Sparse signal models learned from data are widely used in audio, image, and video restoration. They have recently been generalized to discriminative image understanding t...
Julien Mairal, Marius Leordeanu, Francis Bach, Mar...
Online voice conversations are becoming ever more popular. People have been logging online text conversations, but what about voice conversations? Walter Ong simply states, "...
Dimensionality reduction is a statistical tool commonly used to map high-dimensional data into lower a dimensionality. The transformed data is typically more suitable for regressi...
Bill Kapralos, Nathan Mekuz, Agnieszka Kopinska, S...
In this paper, we study a novel problem Collective Active Learning, in which we aim to select a batch set of "informative" instances from a networking data set to query ...