We consider the problem of finding association rules that make nearly optimal binary segmentations of huge categorical databases. The optimality of segmentation is defined by an o...
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
Michael Collins, Amir Globerson, Terry Koo, Xavier...
This paper proposes a novel joint source-channel coding (JSCC) methodology which minimizes the end-to-end distortion for the transmission over packet loss channels of scalable vide...
Maryse R. Stoufs, Adrian Munteanu, Jan Cornelis, P...
We consider the problem of incrementally rendering a polyhedral scene while the viewpoint is moving. In practical situations the number of geometric primitives to be rendered can ...
Alon Efrat, Leonidas J. Guibas, Olaf A. Hall-Holt,...
Tiling exploits temporal reuse carried by an outer loop of a loop nest to enhance cache locality. Loop skewing is typically required to make tiling legal. This restricts parallelis...