Abstract. We are interested in the relationship between learning efficiency and representation in the case of supervised neural networks for pattern classification trained by conti...
Given a collection of contigs and mate-pairs. The Contig Scaffolding Problem is to order and orientate the given contigs in a manner that is consistent with as many mate-pairs as p...
Background: Public databases now contain multitude of complete bacterial genomes, including several genomes of the same species. The available data offers new opportunities to add...
We present a novel algorithm (which we call "FragTrack") for tracking an object in a video sequence. The template object is represented by multiple image fragments or pa...
Variational Bayesian Expectation-Maximization (VBEM), an approximate inference method for probabilistic models based on factorizing over latent variables and model parameters, has ...