CPC G06N 20/00 (2019.01) [G06F 18/213 (2023.01); G06F 18/22 (2023.01); G06V 10/7715 (2022.01)] | 18 Claims |
1. A computer-implemented method for feature processing, comprising:
projecting, by one or more processing units, two input image recognition features selected from multiple features of each sample in a sample set to one resulting feature based on a specified curve, wherein the projecting the two input image recognition features comprises:
projecting, by one or more processing units, a two-dimensional data point to a one-dimensional data point on the specified curve, wherein two values of two axes of the two-dimensional data point in a coordinate system are respectively determined from the two input image recognition features, and the one-dimensional data point is a data point on the specified curve which has the shortest distance to the two-dimensional data point as an orthogonal distance, and
determining, by one or more processing units, an arc length from the one-dimensional data point to a start point in the specified curve as the resulting feature;
updating, by one or more processing units, the sample set by replacing the two input image recognition features with the one resulting feature for each sample in the sample set; and
repeating, by one or more processing units, the projecting and the updating for the sample set until the number of features of each sample in the sample set reaches a predetermined criterion.
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