We propose a novel unsupervised learning framework for activity perception. To understand activities in complicated scenes from visual data, we propose a hierarchical Bayesian mod...
The World Wide Web has transformed itself in the last few years from a simple state-less multimedia platform to a global distributed processing environment. As Web computing gains...
— Matching images with large geometric and iconic changes (e.g. faces under different poses and facial expressions) is an open research problem in computer vision. There are two ...
This paper proposes a method of automated individualization of eye region model. The eye region model has been proposed in past research that parameterizes both the structure and ...
We describe a new class of utility-maximization scheduling problem with precedence constraints, the disconnected staged scheduling problem (DSSP). DSSP is a nonpreemptive multipro...
Eric Anderson, Dirk Beyer 0002, Kamalika Chaudhuri...