This paper describes a document image analysis system using multiple agents working on a pyramid structure to separate text from graphics in the image. Text strings appear as diff...
Chew Lim Tan, Bo Yuan, Weihua Huang, Qian Wang, Zh...
Learning Bayesian network structure from large-scale data sets, without any expertspecified ordering of variables, remains a difficult problem. We propose systematic improvements ...
In many domains, data are distributed among datasets that share only some variables; other recorded variables may occur in only one dataset. While there are asymptotically correct...
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,...