Coordinate gradient learning is motivated by the problem of variable selection and determining variable covariation. In this paper we propose a novel unifying framework for coordi...
Researchers have proposed using hardware data compression units within the memory hierarchies of microprocessors in order to improve performance, energy efficiency, and functional...
Xi Chen, Lei Yang, Haris Lekatsas, Robert P. Dick,...
In this paper, we propose a range-free cooperative localization algorithm for mobile sensor networks by combining hop distance measurements and particle filtering. In the hop dist...
Hongyang Chen, Marcelo H. T. Martins, Pei Huang, H...
The currently accepted method of accelerating applications in FPGA soft processor systems is to design a custom hardware accelerator. This paper suggests the alternative approach ...
We combine the strengths of Bayesian modeling and synchronous grammar in unsupervised learning of basic translation phrase pairs. The structured space of a synchronous grammar is ...
Hao Zhang, Chris Quirk, Robert C. Moore, Daniel Gi...