This paper studies the inference of 3D shape from a set of ? noisy photos. We derive a probabilistic framework to specify what one can infer about 3D shape for arbitrarily-shaped, ...
Rahul Bhotika, David J. Fleet, Kiriakos N. Kutulak...
In this paper we present a unsupervised learning based approach for sub-pixel motion estimation. The novelty of this work is the learning based method itself which tries to learn ...
Mithun Das Gupta, Nemanja Petrovic, ShyamSundar Ra...
We illustrate how technical contributions in the VLSI CAD partitioning literature can fail to provide one or more of: (i) reproducible results and descriptions, (ii) an enabling a...
Andrew E. Caldwell, Andrew B. Kahng, Andrew A. Ken...
Transistor leakage is poised to become the dominant source of power dissipation in digital systems, and reconfigurable devices are not immune to this problem. Modern FPGAs already...
We consider the problem of choosing, sequentially, a map which assigns elements of a set A to a few elements of a set B. On each round, the algorithm suffers some cost associated ...
Alexander Rakhlin, Jacob Abernethy, Peter L. Bartl...