Discovering causal relations among observed variables in a given data set is a main topic in studies of statistics and artificial intelligence. Recently, some techniques to disco...
Federal agencies, academia and industries have invested heavily in the development of structural and biothermodynamic data. However, the data are still largely distributed over se...
Talapady N. Bhat, Yadu B. Tewari, Henry Rodriguez,...
Life science researchers frequently need to query large protein data sets in a variety of different ways. Protein data sets have a rich structure that includes its primary structu...
This paper addresses the problem of applying powerful pattern recognition algorithms based on kernels to efficient visual tracking. Recently Avidan [1] has shown that object recog...
Oliver M. C. Williams, Andrew Blake, Roberto Cipol...
Multi-camera networks bring in potentials for a variety of vision-based applications through provisioning of rich visual information. In this paper a method of image segmentation f...