State space methods have proven indispensable in neural data analysis. However, common methods for performing inference in state-space models with non-Gaussian observations rely o...
Liam Paninski, Yashar Ahmadian, Daniel Gil Ferreir...
—This paper proposes a framework for single-image super-resolution. The underlying idea is to learn a map from input low-resolution images to target high-resolution images based ...
—Utilizing the skewed popularity distribution in P2P systems, common in Gnutella and KazaA like P2P applications, we propose an optimal resource (replica or link) placement strat...
Weixiong Rao, Lei Chen 0002, Ada Wai-Chee Fu, Guor...
Line-rate data traffic monitoring in high-speed networks is essential for network management. To satisfy the line-rate requirement, one can leverage multi-core architectures to par...
Patrick P. C. Lee, Tian Bu, Girish P. Chandranmeno...
Given two elliptic curves over a finite field having the same cardinality and endomorphism ring, it is known that the curves admit an isogeny between them, but finding such an isog...