The grand tour, one of the most popular methods for multidimensional data exploration, is based on orthogonally projecting multidimensional data to a sequence of lower dimensional...
: We present several techniques for accelerating dynamic vector compaction for combinational and sequential circuits. A key feature of all our techniques is that they significantly...
Image data are often composed of two or more geometrically distinct constituents; in galaxy catalogs, for instance, one sees a mixture of pointlike structures (galaxy supercluster...
Background: In this study, we present a robust and reliable computational method for tag-togene assignment in serial analysis of gene expression (SAGE). The method relies on curre...
Background: Support Vector Machines (SVMs) provide a powerful method for classification (supervised learning). Use of SVMs for clustering (unsupervised learning) is now being cons...