We develop a similarity measure to detect repeatedly occurring Out-of-Vocabulary words (OOV), since these carry important information. Sub-word sequences in the recognition output...
Mirko Hannemann, Stefan Kombrink, Martin Karafi&aa...
Abstract-- We present an interactive framework for exploring space-time relationships in databases of experimentally collected highresolution biomechanical data. These data describ...
Daniel F. Keefe, Marcus Ewert, William Ribarsky,...
Background: Baum-Welch training is an expectation-maximisation algorithm for training the emission and transition probabilities of hidden Markov models in a fully automated way. I...
The de novo assembly of genomes from high-throughput short reads is an active area of research. Several promising methods have been recently developed, with applicability mainly re...
Benjamin G. Jackson, Patrick S. Schnable, Srinivas...
Several systems have been presented in the last years in order to manage the complexity of large microarray experiments. Although good results have been achieved, most systems ten...
Ivan Porro, Livia Torterolo, Luca Corradi, Marco F...