This paper gives a new definition of general weighted (GW) fairness and shows how this can achieve various fairness definitions, such as those mentioned in the ATM Forum TM 4.0 spe...
Bobby Vandalore, Sonia Fahmy, Raj Jain, Rohit Goya...
We present a manifold learning approach to dimensionality
reduction that explicitly models the manifold as a mapping
from low to high dimensional space. The manifold is
represen...
We propose a level set based variational approach that incorporates shape priors into Chan-Vese's model [3] for the shape prior segmentation problem. In our model, besides th...
Linear and affine subspaces are commonly used to describe appearance of objects under different lighting, viewpoint, articulation, and identity. A natural problem arising from the...
Contemporary microprocessors implement many iterative algorithms. For example, the front-end of a microprocessor repeatedly fetches and decodes instructions while updating interna...
Mark Aagaard, Robert B. Jones, Roope Kaivola, Kath...