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We describe how to model the appearance of a 3-D object using multiple views, learn such a model from training images, and use the model for object recognition. The model uses probability distributions to describe the range of possible variation in the object's appearance. These distributions are organized on two levels. Large variations are handled by(More)
OBJECTIVES The effectiveness of case-managed residential care (CMRC) in reducing substance abuse, increasing employment, decreasing homelessness, and improving health was examined. METHODS A five-year prospective experiment included 358 homeless addicted male veterans 3, 6, and 9 months during their enrollment and at 12, 18, and 24 months after the(More)
We describe how to model the appearance of an object using multiple views, learn such a model from training images, and recognize objects with it. The model uses probability distributions to characterize the signicance, position, and intrinsic measurements of various discrete features of appearance; it also describes topological relations among features.(More)
We decribe a scheme for summarizing video content using mosaics and moving object trajectories, and an approach exploiting this scheme for content-based retrieval and scene visualization. Video is segmented into clips using scene cut detection. Within each clip, static scene content is summarized by a mosaic, and dynamic content, by segmenting and tracking(More)