This work addresses the problem of classifying the genre of text, which is useful for a variety of language processing problems. We propose statistics of POS histograms as classiï...
Sergey Feldman, Marius A. Marin, Mari Ostendorf, M...
A split quaternion learning algorithm for the training of nonlinear ï¬nite impulse response ï¬lters for the modelling of hypercomplex signals is proposed. A rigorous derivation ...
Bukhari Che Ujang, Clive Cheong Took, Alek Kavcic,...
We show how an SVM based acoustic speaker verification system can be significantly improved in incorporating new visual features that capture the speaker’s “Body Language.†...
Christoph Bregler, George Williams, Sally Rosentha...
We propose a model for the density of cross-spectral coefï¬cients using Normal Variance Mean Mixtures. We show that this model density generalizes the corresponding marginal dens...
Jason A. Palmer, Scott Makeig, Kenneth Kreutz-Delg...
This paper presents a new sparse representation for acoustic signals which is based on a mixing model deï¬ned in the complex-spectrum domain (where additivity holds), and allows ...