We present an automated, scalable, method for crafting dynamic responses to real-time network requests. Specifically, we provide a flexible technique based on natural language pro...
Sam Small, Joshua Mason, Fabian Monrose, Niels Pro...
In this paper, we propose a novel metric learning method based on regularized moving least squares. Unlike most previous metric learning methods which learn a global Mahalanobis d...
Don't-care conditions provide additional flexibility in logic synthesis and optimization. However, most work only focuses on the gate level because it is difficult to handle ...
Many current medical image analysis problems involve learning thousands or even millions of model parameters from extremely few samples. Employing sparse models provides an effecti...
Online collaboration and sharing is the central theme of many webbased services that create the so-called Web 2.0 phenomena. Using the Internet as a computing platform, many Web 2...
Jiangming Yang, Haixun Wang, Ning Gu, Yiming Liu, ...