Markov random field (MRF) models, including conditional random field models, are popular in computer vision. However, in order to be computationally tractable, they are limited to ...
: Molecular recognition plays a fundamental role in all biological processes, and that is why great efforts have been made to understand and predict protein–ligand interactions. ...
Dariusz Plewczynski, Michal Lazniewski, Marcin von...
Visualizing network data, from tree structures to arbitrarily connected graphs, is a difficult problem in information visualization. A large part of the problem is that in network...
Galileo Namata, Brian Staats, Lise Getoor, Ben Shn...
In the initial stage of sequence analysis, a biologist is first faced with the questions about how to choose the best tool to align sequences of interest and how to analyze and v...
Arthur Chun-Chieh Shih, D. T. Lee, Laurent Lin, Ch...
Visualizing and analyzing social networks is a challenging problem that has been receiving growing attention. An important first step, before analysis can begin, is ensuring that...
Mustafa Bilgic, Louis Licamele, Lise Getoor, Ben S...