We consider the problem of reducing the dimensionality of labeled data for classification. Unfortunately, the optimal approach of finding the low-dimensional projection with minim...
Abstract. We propose an algorithmic framework for computing global solutions of variational models with convex regularity terms that permit quite arbitrary data terms. While the mi...
Thomas Pock, Daniel Cremers, Horst Bischof, Antoni...
Discovering rare categories and classifying new instances of them is
an important data mining issue in many fields, but fully supervised
learning of a rare class classifier is pr...
Privacy protection of visual information is increasingly important as pervasive camera networks becomes more prevalent. The proposed scheme addresses the problem of preserving and...
Sen-Ching S. Cheung, Jithendra K. Paruchuri, Thinh...
We reconstruct geometry for a time-varying scene given by a number of video sequences. The dynamic geometry is represented by a 3D hypersurface embedded in space-time. The interse...