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During the period of the grant, 2/1/93 - 1/15/95, we developed: (1) a Bayesian framework for object detection and tracking; the algorithm was successfully tested on real-data in the detection and tracking of vehicles on a highway: (2) a recognition algorithm based on stochastic hierarchical, context-free-grammars type, object representation; the study has required the development of feasible pruning techniques for dynamic programming; (3) a new acoustic model for speech recognition based on a wavelet representation of the acoustic-signal, and nonparametric prediction techniques.