In this paper, we address the pre-image problem in kernel principal component analysis (KPCA). The preimage problem finds a pattern as the pre-image of a feature vector defined in...
We propose a considerably faster approximation of the well known SIFT method. The main idea is to use efficient data structures for both, the detector and the descriptor. The detec...
This paper addresses the problem of camera calibration using object silhouettes in image sequences. It is known that silhouettes encode information on camera parameters by the fact...
Sparse representation has found applications in numerous domains and recent developments have been focused on the convex relaxation of the 0-norm minimization for sparse coding (i...
Given a sequence of observable features of a linear dynamical system (LDS), we propose the problem of finding a representation of the LDS which is sparse in terms of a given dict...