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Inventors at UCSD have discovered a new and robust method for detecting objects in images, video streams, or signal streams. Many current object recognition methods require numerous training examples to be used to improve system performance. The current method does not have such training size limitations and can thus also be used for the design of real-time object/signal detectors in applications with limited training size availability
Case No: SD2007-265
Inquiries To: invent@ucsd.edu
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