We propose a method based on sparse representation
(SR) to cluster data drawn from multiple low-dimensional
linear or affine subspaces embedded in a high-dimensional
space. Our ...
A representative subspace is significant for image analysis, while the corresponding techniques often suffer from the curse of dimensionality dilemma. In this paper, we propose a ...
Dong Xu, Shuicheng Yan, Lei Zhang, HongJiang Zhang...
This paper presents reliable techniques for detecting, tracking, and storing keyframes of people in surveillance video. The first component of our system is a novel face detector ...
Abstract. This paper extends the recovery of structure and motion to image sequences with several independently moving objects. The motion, structure, and camera calibration are al...
This paper compares two methods for running an application composed of a set of modules on a grid. The set of modules (collectively called Montage) generates large astronomical im...
Daniel S. Katz, Joseph C. Jacob, G. Bruce Berriman...