We present a formal description of a neurofuzzy system capable of aligning two sequences recognizing their internal structure. The alignment is done on two levels: grouping of the...
This paper addresses the problem of the interpolation of 2-d spherical signals from non-uniformly sampled and noisy data. We propose a graph-based regularization algorithm to impr...
We propose a novel algorithm for sparse system identification in the frequency domain. Key to our result is the observation that the Fourier transform of the sparse impulse respo...
: The standard prediction error framework provides many theoretical results under the assumption that the true system is in the model class. An important example is the expression ...
Sippe G. Douma, Xavier Bombois, Paul M. J. Van den...
We address the problem of an efficient image-space reconstruction of adaptively sampled scenes in the context of point-based and line-based graphics. The imagespace reconstruction...
Ricardo Marroquim, Martin Kraus, Paulo Roma Cavalc...