In this paper we present a novel approach for estimating featurespace maximum likelihood linear regression (fMLLR) transforms for full-covariance Gaussian models by directly maxim...
Arnab Ghoshal, Daniel Povey, Mohit Agarwal, Pinar ...
The classical case of morphological segmentation is based on the watershed transform, constructed by flooding the gradient image, which is seen as a topographic surface, with cons...
We propose a video denoising algorithm based on a spatiotemporal Gaussian scale mixture (ST-GSM) model in the wavelet transform domain. This model simultaneously captures local co...
This paper proposes an agent-oriented meta-model that provides rigorous concepts for conducting enterprise modelling. The aim is to allow analysts to produce an enterprise model th...
In this paper, we present for the first time the fingerprint IRCAM system for audio identification in streams. The baseline system relies on a double-nested Short Time Fourier ...