We present a new approach for the discriminative training
of continuous-valued Markov Random Field (MRF)
model parameters. In our approach we train the MRF
model by optimizing t...
Many computer vision problems can be formulated in
a Bayesian framework with Markov Random Field (MRF)
or Conditional Random Field (CRF) priors. Usually, the
model assumes that ...
Motivated by the importance of retrieving comprehensive healthcare information, we analyzed how information about 12 concepts related to a widely available healthcare topic is dis...
Suresh K. Bhavnani, Renju T. Jacob, Jennifer Nardi...
In this paper, we investigate the application of the COBRATM method (Cost Estimation, Benchmarking, and Risk Assessment) in a new application domain, the area of web development. ...
This paper aims to propose solutions to the issue of ontology visualization, by presenting intuitive and userfriendly ontology editing and visualization environments mainly orient...
Nadia Catenazzi, Lorenzo Sommaruga, Riccardo Mazza