We describe a neurally-inspired, unsupervised learning algorithm that builds a non-linear generative model for pairs of face images from the same individual. Individuals are then ...
Background: High throughput signature sequencing holds many promises, one of which is the ready identification of in vivo transcription factor binding sites, histone modifications...
In this paper, we study face hallucination, or synthesizing a high-resolution face image from an input low-resolution image, with the help of a large collection of other high-reso...
Abstract –In this paper, a new problem, consensus estimation, is formulated, whose setting is complementary to the well-known CEO problem. In particular, a set of nodes are emplo...
We propose a characterization of distributed denial of service (DDOS) defenses where reaction points are network-based and attack responses are active. The purpose is to provide a ...
Li-Chiou Chen, Thomas A. Longstaff, Kathleen M. Ca...