We introduce a method to discover optimal local patterns, which concisely describe the main trends in a time series. Our approach examines the time series at multiple time scales ...
Smart Dust sensor networks ? consisting of cubic millimeter scale sensor nodes capable of limited computation, sensing, and passive optical communication with a base station ? are...
Dense stereo algorithms rely on matching over a range of disparities. To speed up the search and reduce match ambiguity, processing can be embedded in the hierarchical, or coarse-...
Discovering common objects that appear frequently in a number of images is a challenging problem, due to (1) the appearance variations of the same common object and (2) the enormo...
1 Data distribution and replication in distributed systems require special purpose middleware tools for accessing replicated data. Data Grids, special forms of a systems distribute...