— Digital signal processing applications often require the computation of linear systems. These computations can be considerably expensive and require optimizations for lower pow...
Arash Arfaee, Ali Irturk, Nikolay Laptev, Farzan F...
We describe a reputation-driven market that motivates human computation sellers (workers) to produce optimal levels of quality when quality is not immediately measurable and contr...
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
In this paper, we present a new approach for image labeling based on the recently introduced graph-shifts algorithm. Graph-shifts is an energy minimization algorithm that does lab...
The recent investigation of privacy-preserving data mining and other kinds of privacy-preserving distributed computation has been motivated by the growing concern about the privacy...
Hiranmayee Subramaniam, Rebecca N. Wright, Zhiqian...