Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
Tsochantaridis et al. (2005) proposed two formulations for maximum margin training of structured spaces: margin scaling and slack scaling. While margin scaling has been extensivel...
We present Arithmetic Program Paths, a novel, efficient way to compress program control-flow traces that reduces program bit traces to less than a fifth of their original size whi...
Manos Renieris, Shashank Ramaprasad, Steven P. Rei...
Point Distribution Modelling (PDM) is an efficient generative technique that can be used to incorporate statistical shape priors into image analysis methods like Active Shape Mode...
Alejandro F. Frangi, Loic Boisrobert, Marcos Lauce...
The most popular architecture for parallel search is work stealing: threads that have run out of work (nodes to be searched) steal from threads that still have work. Work stealing ...