Recent work has shown that one can learn the structure of Gaussian Graphical Models by imposing an L1 penalty on the precision matrix, and then using efficient convex optimization...
Minimum-error-rate training (MERT) is a bottleneck for current development in statistical machine translation because it is limited in the number of weights it can reliably optimi...
One approach to modeling structured discrete data is to describe the probability of states via an energy function and Gibbs distribution. A recurring difficulty in these models is...
Daniel Tarlow, Ryan Prescott Adams, Richard S. Zem...
A frame decimation scheme is proposed that makes automatic extraction of Structure and Motion (SaM) from handheld sequences more practical. Decimation of the number of frames used...
When assembling MEMS devices or manipulating biological cells it is often beneficial to have information about the force that is being applied to these objects. This force informa...