We consider the problem of fitting a large-scale covariance matrix to multivariate Gaussian data in such a way that the inverse is sparse, thus providing model selection. Beginnin...
Onureena Banerjee, Laurent El Ghaoui, Alexandre d'...
This paper proposes a Bayesian algorithm to estimate the parameters of a smooth transition regression model. With in this model, time series are divided into segments and a linear...
Model-based face analysis is a general paradigm with applications that include face recognition, expression recognition, lip-reading, head pose estimation, and gaze estimation. A f...
Most information systems log events (e.g., transaction logs, audit trails) to audit and monitor the processes they support. At the same time, many of these processes have been expl...
— Increasing the field of view of camera is an important issue practical in robot vision. One solution is to consider catadioptric camera that allows a 360o field of view. In t...