Abstract--Recently, sparse approximation has become a preferred method for learning large scale kernel machines. This technique attempts to represent the solution with only a subse...
The adaptive estimation of a time-varying parameter vector in a linear Gaussian model is considered where we a priori know that the parameter vector belongs to a known arbitrary s...
This paper presents a parallel framework for simulating fluids with the Smoothed Particle Hydrodynamics (SPH) method. For low computational costs per simulation step, efficient ...
Markus Ihmsen, Nadir Akinci, Markus Becker, Matthi...
We show a novel approach of automatically generating minutes style extractive summaries for parliamentary speech. Minutes are structured summaries consisting of sequences of busin...
Justin Jian Zhang, Pascale Fung, Ricky Ho Yin Chan
In an earlier work, we proposed a novel phonetic segmentation method based on speech analysis under the Microcanonical Multiscale Formalism (MMF). The latter relies on the computa...
Vahid Khanagha, Khalid Daoudi, Oriol Pont, Hussein...