We present BayesMD, a Bayesian Motif Discovery model with several new features. Three different types of biological a priori knowledge are built into the framework in a modular fa...
This paper presents a classification-driven biomedical image retrieval system to bride the semantic gap by transforming image features to their global categories at different gran...
Md. Mahmudur Rahman, Sameer Antani, George R. Thom...
If an image should be retrieved by its subregions from a large image database, an immense number of possible queries will appear. Therefore, the index which encodes the spatial in...
Search engines that support structured documents typically support structure created by the author (e.g., title, section), and may also support structure added by an annotation pr...
We address the task of answering natural language questions by using the large number of Frequently Asked Questions (FAQ) pages available on the web. The task involves three steps...