I describe the format of the new version of an introductory database course that I taught at the University of Washington in Winter, 2003. The key idea underlying the course is to...
In this concluding synthesis article, I summarize and discuss the papers that comprise both parts of this special issues. Two organizing frameworks are provided to facilitate read...
Background: Accurate identification of protein domain boundaries is useful for protein structure determination and prediction. However, predicting protein domain boundaries from a...
While low-dimensional image representations have been very popular in computer vision, they suffer from two limitations: (i) they require collecting a large and varied training se...
The paper introduces a new framework for feature learning in classification motivated by information theory. We first systematically study the information structure and present a n...