Abstract. In this paper we elaborate on a kernel extension to tensorbased data analysis. The proposed ideas find applications in supervised learning problems where input data have ...
Marco Signoretto, Lieven De Lathauwer, Johan A. K....
Abstract. This paper describes an approach to estimate the parameters of a motion blur (direction and length) directly form the observed image. The motion blur estimate can then be...
The resampling of discrete-time signals where the underlying analog signal is non-bandlimited is considered in this paper. We extend the generalized sampling theory developed base...
This paper deals with the problem of efficiently computing the optical flow of image sequences acquired by omnidirectional (nearly full field of view) cameras. We formulate the pr...
Luigi Bagnato, Pascal Frossard, Pierre Vandergheyn...
We propose an algorithm to increase the resolution of multispectral satellite images knowing the panchromatic image at high resolution and the spectral channels at lower resolutio...
Coloma Ballester, Vicent Caselles, Laura Igual, Jo...