The accurate recognition of text that appears in images/videos using analytical character recognition methods is often very difficult, despite the fact that the text might be corr...
Minimum Error Rate Training is the algorithm for log-linear model parameter training most used in state-of-the-art Statistical Machine Translation systems. In its original formula...
To analyze the complexity of object-oriented software, several metrics have been proposed. Among them, Chidamber and Kemerer's metrics are well-known ones as object-oriented ...
We present the first PAC bounds for learning parameters of Conditional Random Fields [12] with general structures over discrete and real-valued variables. Our bounds apply to com...
This article empirically examines the awareness, concern, and actions of home-based small business owners regarding Internet-based computer security risks. A scientific, Internet-...