Abstract: A system and method for improved detection of objects of interest in image data using adaptive stepwise classification and hierarchical decision diagrams to manage false positives is provided. The present invention uses an adaptive stepwise classification approach, preferably based on a hierarchical binary decision diagram (BDD), to enable the efficient management of false positive objects to improve detection performance. The present invention is particularly suited for the reduction of false positives during the detection of acid fast bacilli associated with tuberculosis.

Abstract: Systems and methods are provided that employ a client side browser application and server side website applications that use optimization, prefetching, and caching of user interactions. These are used in combination with mouseover callouts to provide browsable search result refinements and additional product information. The systems and methods can be applied to site search applications and site-wide navigation and can be integrated with web analytics solutions to optimize the user interface and information provided based on real time end user browsing trends.