Topic models have recently emerged as powerful tools for modeling topical trends in documents. Often the resulting topics are broad and generic, associating large groups of people...
Vidit Jain, Erik G. Learned-Miller, Andrew McCallu...
Developing effective content recognition methods for diverse imagery continues to challenge computer vision researchers. We present a new approach for document image content catego...
Guangyu Zhu, Xiaodong Yu, Yi Li, David S. Doermann
In this paper, we consider the problem of combining link and content analysis for community detection from networked data, such as paper citation networks and Word Wide Web. Most ...
We introduce a model-based analysis technique for extracting and characterizing rhythmic expression pro les from genome-wide DNA microarray hybridization data. These patterns are ...
Christopher James Langmead, Anthony K. Yan, C. Rob...
— There is growing incentive to reduce the power consumed by large-scale data centers that host online services such as banking, retail commerce, and gaming. Virtualization is a ...
Dara Kusic, Jeffrey O. Kephart, James E. Hanson, N...