We study the problem of visualizing large networks and develop es for effectively abstracting a network and reducing the size to a level that can be clearly viewed. Our size reduc...
We study suitable indexing techniques to support efficient exact match search in large biological sequence databases. We propose a suffix tree (ST) representation, called STA-DF, ...
Mihail Halachev, Nematollaah Shiri, Anand Thamildu...
Background: Modern developmental biology relies heavily on the analysis of embryonic gene expression patterns. Investigators manually inspect hundreds or thousands of expression p...
Rajalakshmi Gurunathan, Bernard Van Emden, Sethura...
Content based retrieval of similar multimedia objects (e.g. images, text, and videos) is an important research issue in the field of multimedia database. In this demo, we present ...
We introduce a method that enables scalable image search for learned metrics. Given pairwise similarity and dissimilarity constraints between some images, we learn a Mahalanobis d...