Labeled data for classification could often be obtained by sampling that restricts or favors choice of certain classes. A classifier trained using such data will be biased, resulti...
As the "system-on-a-chip" concept is rapidly becoming a reality, time-to-market and product complexity push the reuse of complex macromodules. Circuits combining a varie...
We present a novel perceptual method to reduce the visual redundancy of unstructured lumigraphs, an image based representation designed for interactive rendering. We combine featu...
The Whitehead Institute/MIT Center for Genome Research is responsible for a number of large genome mapping efforts, the scale of which create problems of data and workflow managem...
Lincoln Stein, Andre Marquis, Robert Dredge, Mary ...
Background: Assessing the outcome of motif mining algorithms is an essential task, as the number of reported motifs can be very large. Significance measures play a central role in...