Energy minimization for data merging and fusion
OwnerAbel G. Wolman, Jeff B. Glickmaninventors
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Abstract
A data merging/fusion comprises using a preprocessing step, an energy minimization step, and a postprocessing step to merge or fuse data. In a particular embodiment, ordinal data are processed by mapping the ordinal data to a lower triangular matrix of ordinal data, processing the matrix using non-metric individual differences multidimensional scaling and subsequently processing the result.
Claims35
A data fusion method comprising the steps of:
- (a) receiving data;
- and
- (b) applying energy minimization to produce fusion vectors.
A data fusion method comprising the steps of:
- (a) receiving ordinal data;
- (b) creating matrices of length data using the ordinal data;
- (c) applying energy minimization to the matrices;
- and
- (e) producing fusion vectors in response to the energy minimization.
A data fusion process for data comprising:
- using individual differences multidimensional scaling with one or more input length matrices into which the data for fusion has been converted to produce at least a source space output;
- and
- using the source space output to interpret the fused data.
A data fusion process comprising:
- forming input length matrices with ordinal data;
- applying an energy minimization process with the input length matrices to produce at least a source space output;
- and
- interpreting the source space output as an indicator of data fusion.
Computer executable software program code stored on a computer readable medium, the code for data fusion of input data, the code comprising:
- first code that receives data and forms one or more data structures using the data;
- second code that applies an energy minimization process to the one or more data structures and produces fusion vectors;
- and
- third code that uses the fusion vectors to provide user output information.
A method for data fusion, the method comprising the steps of:
- receiving one or more sets of ordinal data Sk, the ordinal data including ranking values for a predetermined characteristic among a plurality of input domains;
- mapping the ordinal data into one or more empty lower triangular length matrices Tk to define lengths in the one or more matrices Tk;
- processing the matrices Tk using an energy minimization process to produce output data;
- and
- processing the output data to provide fused data.
Dependencies are inferred from the claim text.