We propose an approach to restore severely degraded
document images using a probabilistic context model. Un-
like traditional approaches that use previously learned
prior models...
Jyotirmoy Banerjee, Anoop M. Namboodiri, C. V. Jaw...
In this paper, we propose a new application of Bayesian language model based on Pitman-Yor process for information retrieval. This model is a generalization of the Dirichlet distr...
This paper concerns learning and prediction with probabilistic models where the domain sizes of latent variables have no a priori upper-bound. Current approaches represent prior d...
We demonstrate a system for querying probabilistic XML documents with simple XPath queries. A user chooses between a variety of query answering techniques, both exact and approxim...
Episodic knowledge is often stored in the form of textual narratives written in natural language. However, a large repository of such narratives will contain both repetitive and n...