In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
The table recognition literature contains many strategies specified informally as a sequence of operations, obscuring both models of table structure and the effects of individual...
Richard Zanibbi, Dorothea Blostein, James R. Cordy
Software engineers frequently update COTS components integrated in component-based systems, and can often chose among many candidates produced by different vendors. This paper tac...
Abstract. We introduce a mathematical framework for black-box software testing of functional correctness, based on concepts from stochastic process theory. This framework supports ...
Abstract. We present the Operator Language (OL), a framework to automatically generate fast numerical kernels. OL provides the structure to extend the program generation system Spi...