For many supervised learning problems, we possess prior knowledge about which features yield similar information about the target variable. In predicting the topic of a document, ...
Ted Sandler, John Blitzer, Partha Pratim Talukdar,...
Probabilistic topic models have become popular as methods for dimensionality reduction in collections of text documents or images. These models are usually treated as generative m...
Coupling recent imaging capabilities with microstructural finite element (microFE) analysis offers a powerful tool to determine bone stiffness and strength. It shows high potentia...
Constantine Bekas, Alessandro Curioni, Peter Arben...
This paper addresses the problem of efficiently calculating shadows from environment maps in the context of ray-tracing. Since accurate rendering of shadows from environment maps ...
Aner Ben-Artzi, Ravi Ramamoorthi, Maneesh Agrawala
We propose an information fusion approach to tracking objects from different viewpoints that can detect and recover from tracking failures. We introduce a reliability measure that...