There has been significant recent interest in sparse metric learning (SML) in which we simultaneously learn both a good distance metric and a low-dimensional representation. Unfor...
Visualization is essential for understanding the increasing volumes of digital data. However, the process required to create insightful visualizations is involved and time consumin...
Emanuele Santos, Lauro Lins, James P. Ahrens, J...
As the Web has evolved into a data-rich repository, with the standard "page view," current search engines are increasingly inadequate. While we often search for various ...
We propose a novel method, based on concepts from expander graphs, to sample communities in networks. We show that our sampling method, unlike previous techniques, produces subgra...
Traditional Chinese medicine (TCM) is an important avenue for disease prevention and treatment for the Chinese people and is gaining popularity among others. However, many remain s...
Nevin Lianwen Zhang, Shihong Yuan, Tao Chen, Yi Wa...