Discrepancy Directed Model Acquisition forAdaptive Perceptual
نویسندگان
چکیده
For complex perceptual tasks that are characterized by object occlusion and non-stationarity, recognition systems with adaptive signal processing front-ends have been developed. These systems rely on hand-crafted symbolic object models, which constitutes a knowledge acquisition bottleneck. We propose an approach to automate object model acquisition that relies on the detection and resolution of signal processing and interpretation discrepancies. The approach is applied to the task of acquiring acoustic-event models for the Sound Understanding Testbed (SUT).
منابع مشابه
Discrepancy Directed Model Acquisition for Adaptive Perceptual Systems
For complex perceptual tasks that are char acterized by object occlusion and non stationarity recognition systems with adaptive signal processing front ends have been devel oped These systems rely on hand crafted sym bolic object models which constitutes a knowl edge acquisition bottleneck We propose an ap proach to automate object model acquisition that relies on the detection and resolution o...
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