Patent Document ID: 8515160
Application ID: 12316941

Base Claim:
1. A method of actionable intelligence for detecting anomalous entities, comprising an act of initializing one or more processors to perform operations of: receiving an input signal; selecting a class of entities to be recognized; recognizing a set of entities of the selected class in the input signal using an Adaptive Resonance Theory (ART)-based neural network; selecting a set of threshold criteria by which a set of anomalous entities can be detected within the set of recognized entities; detecting the set of anomalous entities by comparing the set of recognized entities against the set of threshold criteria; alerting an operator to the presence of the set of anomalous entities, whereby anomalous entities are detected; prompting the operator to assign new labels to the set of anomalous entities; discovering underlying hierarchical relationships between the new labels assigned by the operator; and updating a knowledge database with the new labels and hierarchical relationships, whereby anomalous entities are classified and hierarchically related.

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Claim 2:
2. The method of claim 1 , where in the operation of receiving an input signal, the input signal is a signal selected from the group consisting of a video signal, an audio signal, a radar signal, and a sonar signal.