Relevant component analysis (RCA) is a recently proposed metric learning method for semi-supervised learning applications. It is a simple and efficient method that has been applie...
This paper briefly traces the evolution of information system architectures from mainframe-connected terminals to distributed multi-tier architectures. It presents the challenges ...
Susan Chapin, Donald B. Faatz, Sushil Jajodia, Amg...
We evaluate the effect of adding parse features to a leading model of preposition usage. Results show a significant improvement in the preposition selection task on native speaker...
Joel R. Tetreault, Jennifer Foster, Martin Chodoro...
In this paper we introduce a novel approach for the analysis of microarray titration experiments. The test introduced here can be used more generally for drug-dosage effect or time...
We show that we can effectively and automatically fit a complex facial animation model to uncalibrated image sequences. Our approach is based on model-driven bundleadjustment foll...