We describe a simple improvement to ngram language models where we estimate the distribution over closed-class (function) words separately from the conditional distribution of ope...
In this paper, we propose a model for representing and predicting distances in large-scale networks by matrix factorization. The model is useful for network distance sensitive app...
The factorization method, which allows us to reconstruct the motion of the camera and shape of the object simultaneously from multiple images, provides high stability in numerical...
Recently various techniques to improve the correlation model of feature vector elements in speech recognition systems have been proposed. Such techniques include semi-tied covaria...
Background: Functional genomics studies are yielding information about regulatory processes in the cell at an unprecedented scale. In the yeast S. cerevisiae, DNA microarrays have...