Methods and Apparatus for Reasoning About Information Fusion Approaches
First Claim
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1. A computer-implemented method of reasoning about information fusion approaches, the method comprising:
- selecting one or more information fusion approaches for evaluation, wherein said selecting is based on a taxonomy that classifies information fusion algorithms;
applying one or more of the selected information fusion approaches to two or more sets of data, andconveying to a user the impact of each of the applied information fusion approaches, wherein the conveyed impact is based on one or more impact measures.
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Abstract
Methods and apparatus for reasoning about information fusion approaches are described according to some aspects. In one aspect, a method for reasoning about information fusion approaches comprises selecting one or more information fusion approaches for evaluation, and applying the approaches to two or more sets of data. The selection of information fusion approaches can be based on a taxonomy that classifies information fusion algorithms. The impact of each of the applied information fusion approaches can then be conveyed to a user, wherein the conveyed impact is based on one or more impact measures.
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Citations
26 Claims
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1. A computer-implemented method of reasoning about information fusion approaches, the method comprising:
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selecting one or more information fusion approaches for evaluation, wherein said selecting is based on a taxonomy that classifies information fusion algorithms; applying one or more of the selected information fusion approaches to two or more sets of data, and conveying to a user the impact of each of the applied information fusion approaches, wherein the conveyed impact is based on one or more impact measures. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23)
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24. An apparatus for reasoning about information fusion approaches comprising:
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a plurality of information fusion algorithms accessible by processing circuitry, wherein the information fusion algorithms are classified according to a taxonomy; two or more sets of data accessible by processing circuitry; and processing circuitry configured to; select one or more information fusion approaches for evaluation, wherein the selection is based on the taxonomy of information fusion algorithms; apply one or more of the selected information fusion approaches to at least two of the sets of data; convey to a user through a user interface the impact of the application of the fusion approaches, wherein the conveyed impact is based on one or more impact measures; and process input received from a user through an input device. - View Dependent Claims (25, 26)
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Specification