Principal component analysis (PCA) is a widely used statistical technique for unsupervised dimension reduction. K-means clustering is a commonly used data clustering for unsupervi...
This paper introduces a novel and efficient algorithm for reconstructing the 3D shapes of tumors from a set of 2D bioluminescence images which are taken by the same camera but aft...
Junzhou Huang, Xiaolei Huang, Dimitris N. Metaxas,...
Applications supporting navigation in large networks are used every days by millions of people. They include road map navigators, ight route visualization systems, and network vis...
`Embedded phenomena' is a learning technology framework in which simulated scientific phenomena are mapped onto the physical space of classrooms. Students monitor and control...
The Dryad and DryadLINQ systems offer a new programming model for large scale data-parallel computing. They generalize previous execution environments such as SQL and MapReduce in...