In a dynamic market, being able to update one’s value based on information available to other bidders currently in the market can be critical to having profitable transactions. ...
A recognition scheme that scales efficiently to a large number of objects is presented. The efficiency and quality is exhibited in a live demonstration that recognizes CD-covers...
Data clustering is a difficult problem due to the complex and heterogeneous natures of multidimensional data. To improve clustering accuracy, we propose a scheme to capture the lo...
—In this paper, we introduce a local image descriptor, DAISY, which is very efficient to compute densely. We also present an EM-based algorithm to compute dense depth and occlusi...
People spend most of their time at a few key locations, such as home and work. Being able to identify how the movements of people cluster around these “important places” is cru...