AGGREGATED DATA RESOLUTION ENHANCEMENT DEVICE, AGGREGATED DATA RESOLUTION ENHANCEMENT METHOD, AND AGGREGATED DATA RESOLUTION ENHANCEMENT PROGRAM
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United States of America Patent
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Issued Date -
Aug 11, 2022
app pub date -
Jul 10, 2020
filing date -
Jul 10, 2019
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Abstract
A parameter estimation section 106 is configured to perform estimation, for aggregate data in which values are associated with respective regions obtained by subdividing a space and for a Gaussian process model that expresses a plurality of aggregate data of differing partition granularity. The estimation is performed based on the Gaussian process model including a spatial scale parameter of a correlation function between regions of the aggregate data and including a noise variance parameter of the correlation function, by estimating the spatial scale parameter and the noise variance parameter so as to maximize a function expressing values of the aggregate data by area integrals of a Gaussian process. A high resolution data computation section 111 is configured to perform computation in the Gaussian process model including the estimated spatial scale parameter and noise variance parameter by computing high resolution data in which the resolution of the subject aggregate data is enhanced by taking area integrals of the values of the aggregate data subject to enhancement, by computation for each region obtained by subdividing the space at the granularity indicated by the target partition.
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