In this paper, we study the use of heterogeneous data for training of acoustic models. In initial experiments, a significant drop of accuracy has been observed on in-domain test s...
We present a simple and scalable algorithm for clustering tens of millions of phrases and use the resulting clusters as features in discriminative classifiers. To demonstrate the ...
-- Software is increasing in size and complexity. As a direct implication, organizations nd it more difficult to achieve the desired product quality. Process improvement models are...
To incorporate instant effects and different timescales within a single biological system, an extension of discrete regulatory networks with short-term stimuli is proposed. By mai...
—Extracting high-quality dynamic foreground layers from a video sequence is a challenging problem due to the coupling of color, motion, and occlusion. Many approaches assume that...