We describe a Bayesian inference algorithm that can be used to train any cascade of weighted finite-state transducers on end-toend data. We also investigate the problem of automat...
David Chiang, Jonathan Graehl, Kevin Knight, Adam ...
Although testing accounts for 50% of the cost of software, it receives little treatment in most curricula. This paper presents some approaches to giving all students multiple, inc...
The rapid progress of computers and today's heterogeneous computing environment means computation-intensive signal processing algorithms must be optimized for performance in ...
Keeping students alert and responsive during lectures is a challenge even for experienced teachers in small group settings. Research has shown the importance of student participat...
Our experiments in TRECVID 2007 include participation in the high-level feature extraction, search, and video summarization tasks, using a common system framework based on multipl...