Statistical topic models provide a general data-driven framework for automated discovery of high-level knowledge from large collections of text documents. While topic models can p...
Chaitanya Chemudugunta, Padhraic Smyth, Mark Steyv...
Soft errors are a growing concern for processor reliability. Recent work has motivated architecture-level studies of soft errors since the architecture can mask many raw errors an...
Xiaodong Li, Sarita V. Adve, Pradip Bose, Jude A. ...
Abstract. This paper describes methods and sensor technology used to identify persons from their walking characteristics. We use an array of simple binary switch floor sensors to d...
An important problem in biological data analysis is to predict the family of a newly discovered sequence like a protein or DNA sequence, using the collection of available sequence...
The spread of influence among individuals in a social network can be naturally modeled in a probabilistic framework, but it is challenging to reason about differences between vari...
Dan Cosley, Daniel P. Huttenlocher, Jon M. Kleinbe...