This paper presents a new approach to language model construction, learning a language model not from text, but directly from continuous speech. A phoneme lattice is created using...
Graham Neubig, Masato Mimura, Shinsuke Mori, Tatsu...
This paper addresses the problem of streaming progressively compressed 3-D models over lossy networks. Out of all encoded packets that can be transmitted, we intelligently choose ...
We present a Bayesian method for mixture model training that simultaneously treats the feature selection and the model selection problem. The method is based on the integration of ...
Constantinos Constantinopoulos, Michalis K. Titsia...
— We present a computational model of human category learning that learns the essential structures of the categories by forgetting information that is not useful for the given ta...
Given a model and a property expressed in temporal logic, a model checker normally produces a counterexample in case the model does not satisfy the property. This counterexample i...