Normalizing insufficient signals based on additional information
First Claim
1. A system comprising:
- a processor; and
system memory coupled to the processor and storing instructions configured to cause the processor to;
compute a single source probability value for the signal from plurality of signal characteristics of the signal that at least approximate a probability that the signal indicates an event occurring;
subsequent to computing the single source probability, determine the plurality of signal characteristics are insufficient to normalize the signal along at least one of;
a time dimension, a location dimension, or a context dimension;
trigger a signal request requesting additional signals in view of the single source probability and in response to determining that the signal characteristics are insufficient; and
ingest an additional signal relevant to the signal; and
apply a transdimensionality transform to data in the signal to re-encode the data into normalized data having lower dimensionality, including deriving at least one of;
the time dimension, the location dimension, or the context dimension from a combination of the signal characteristics and characteristics of the additional signal.
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Accused Products
Abstract
The present invention extends to methods, systems, and computer program products for normalizing insufficient signals based on additional information. A probability of an event occurring is detected from a raw signal. It is determined signal characteristics of the raw signal are insufficient to normalize the raw signal along at least one of: a time, location, or context dimension. In one aspect, an additional signal relevant to the signal is ingested. In another aspect, a previously detected event relevant to the signal is accessed from a geo cell database. The raw signal is normalized, including deriving at least one of: the time dimension, the location dimension, or the context dimension from a combination of the signal characteristics and characteristics of the other signal and/or characteristics of the previously detected event.
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Citations
17 Claims
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1. A system comprising:
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a processor; and system memory coupled to the processor and storing instructions configured to cause the processor to; compute a single source probability value for the signal from plurality of signal characteristics of the signal that at least approximate a probability that the signal indicates an event occurring; subsequent to computing the single source probability, determine the plurality of signal characteristics are insufficient to normalize the signal along at least one of;
a time dimension, a location dimension, or a context dimension;trigger a signal request requesting additional signals in view of the single source probability and in response to determining that the signal characteristics are insufficient; and ingest an additional signal relevant to the signal; and apply a transdimensionality transform to data in the signal to re-encode the data into normalized data having lower dimensionality, including deriving at least one of;
the time dimension, the location dimension, or the context dimension from a combination of the signal characteristics and characteristics of the additional signal. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A system comprising:
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a processor; and system memory coupled to the processor and storing instructions configured to cause the processor to; ingest a signal; compute a single source probability value for the signal from a plurality of signal characteristics of the signal that at least approximate a probability that the signal indicates an event occurring at a location; determine the plurality of signal characteristics are insufficient to reduce the dimensionality of the signal; subsequent to computing the single source probability, request previously detected events within a specified distance of the location from a geo cell database in view of the single source probability and in response to determining that the signal characteristics are insufficient; receive a previously detected event related to the signal from the geo cell database; and re-encode data in the signal into normalized data having reduced dimensionality, including deriving at least one of;
a time dimension, a location dimension, or a context dimension from a combination of the signal characteristics and characteristics of the previously detected event. - View Dependent Claims (8, 9, 10)
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11. A system comprising:
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a processor; and system memory coupled to the processor and storing instructions configured to cause the processor to; ingest a signal; compute a single source probability value for the signal from a plurality of signal characteristics of the signal that at least approximate a probability of an event occurring; subsequent to computing the single source probability, determine the plurality of signal characteristics are insufficient to normalize the signal along at least one of;
a time dimension, a location dimension, or a context dimension;obtain supplemental information from an additional signal and from a previously detected event in view of the single source probability and in response to determining that the signal characteristics are insufficient; enrich the signal with the supplemental information; and apply a transdimensionality transform to data in the signal to re-encode the data into normalized data having lower dimensionality, including deriving at least one of;
the time dimension, the location dimension, or the context dimension from a combination of the signal characteristics and the supplemental information. - View Dependent Claims (12, 13, 14, 15, 16, 17)
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Specification