A learn-by-example (LBE) system comprises, among other things, a first component which provides examples of data of interest (Supply Component/Example Data component); a second component capable of selecting and configuring a classification algorithm to classify the collected data (Configuration Component), and a third component capable of using the configured classification algorithm to classify new data from the sensors (Recognition Component). Together, these components detect sensory events of interest utilizing an LBE methodology, thereby enabling continuous sensory processing without the need for specialized sensor processing expertise and specialized domain-specific algorithm development.
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