DATA PROCESSING DEVICE, COMPUTER PROGRAM THEREFOR AND DATA PROCESSING METHOD
First Claim
1. A data processing device comprising:
- a data input unit that inputs test data in which a correct hypothesis is established in a learning mode for each of predetermined inputs, and inputs subject data for a hypothesis search in a search mode for each of the inputs;
a feature amount extraction unit that analyzes the input test data and the input subject data and extracts each feature amount;
a hypothesis measure calculation unit that calculates a plurality of pruning measures for each of a plurality of hypotheses of the test data and the subject data using the extracted feature amount;
a data plotting unit that plots the plurality of hypotheses of the input test data on a threshold space specified by the plurality of pruning measures, corresponding to each of the calculated pruning measures;
an isopycnic surface setting unit that sets a plurality of isopycnic surfaces on the threshold space, corresponding to densities of the plurality of plotted hypotheses;
a threshold curved surface generation unit that generates, on the threshold space, a threshold curved surface made of the plurality of pruning thresholds in which a decrease in at least one of the plurality of pruning measures causes an increase in at least one thereof, using a portion of one surface selected from the plurality of isopycnic surfaces as a part;
a hypothesis curved surface generation unit that generates a hypothesis curved surface made of the plurality of hypotheses of the subject data on the threshold space, corresponding to each of the calculated pruning measures; and
a hypothesis pruning unit that prunes the plurality of hypotheses of the subject data, using a position at which the generated hypothesis curved surface intersects the threshold curved surface as the pruning threshold.
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Abstract
A plurality of pruning measures (PM) are calculated from a feature amount (CV) of test data (TD) which is input, a plurality of isopycnic surfaces (EC) are plotted and set on a threshold space (SS), a threshold curved surface (SC) in which a decrease in at least one of a plurality of pruning measures (PM) causes an increase in at least one thereof is generated using a portion of one isopycnic surface (EC) as a part, a hypothesis curved surface (HC) of subject data (CD) is generated on the threshold space (SS) to set a position intersecting the threshold curved surface (SC) to a pruning threshold (PS), and a plurality of hypotheses of the subject data (CD) are pruned. Thereby, there is provided a data processing device of which at least one of the recognition speed and the recognition accuracy is higher than in the related art.
18 Citations
5 Claims
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1. A data processing device comprising:
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a data input unit that inputs test data in which a correct hypothesis is established in a learning mode for each of predetermined inputs, and inputs subject data for a hypothesis search in a search mode for each of the inputs; a feature amount extraction unit that analyzes the input test data and the input subject data and extracts each feature amount; a hypothesis measure calculation unit that calculates a plurality of pruning measures for each of a plurality of hypotheses of the test data and the subject data using the extracted feature amount; a data plotting unit that plots the plurality of hypotheses of the input test data on a threshold space specified by the plurality of pruning measures, corresponding to each of the calculated pruning measures; an isopycnic surface setting unit that sets a plurality of isopycnic surfaces on the threshold space, corresponding to densities of the plurality of plotted hypotheses; a threshold curved surface generation unit that generates, on the threshold space, a threshold curved surface made of the plurality of pruning thresholds in which a decrease in at least one of the plurality of pruning measures causes an increase in at least one thereof, using a portion of one surface selected from the plurality of isopycnic surfaces as a part; a hypothesis curved surface generation unit that generates a hypothesis curved surface made of the plurality of hypotheses of the subject data on the threshold space, corresponding to each of the calculated pruning measures; and a hypothesis pruning unit that prunes the plurality of hypotheses of the subject data, using a position at which the generated hypothesis curved surface intersects the threshold curved surface as the pruning threshold. - View Dependent Claims (2, 3, 4, 5)
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Specification