Detecting events from a signal features matrix

A system comprising:

• a processor;
• system memory coupled to the processor and storing instructions configured to cause the processor to:
• access a number of signals that includes two or more signals;
• form a two-dimensional signal evidence matrix, wherein each dimension of the two-dimensional signal evidence matrix equals at least the number of signals;
• form a plurality of signal pairings, including pairing each signal in the plurality of signals with itself in a signal pairing and pairing each signal in the plurality of signals with every other signal in the plurality of signals in a signal pairing;
• populate the two-dimensional signal evidence matrix with the plurality of signal pairings;
• compute a plurality of pairing probabilities, including computing a pairing probability associated with each of the plurality of signal pairings, each of the plurality of pairing probabilities representing a likelihood that a corresponding signal pairing is indicative of a real-world event of an event type, including for each signal pairing:
• calculate the pairing probability based on one or more of:
• (a) a source diversity between the signals included in the signal pairing, (b) a signal pairing frequency indicating how often signal types corresponding to the signals in the signal pair are paired together, (c) a pairing strength derived from a confidence associated with each signal included in the signal pairing, (d) a pairing time derived from a time associated with each signal included in the signal pairing, or (e) a pairing location derived from a location associated with each signal included in the signal pairing;
• aggregate the plurality of pairing probabilities into an aggregated probability;
• and
• detect the real-world event from evidence provided by the aggregated probability.