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- W2375432812 abstract "In order to classify the natural images more effectively and accurately,a classification method weigh images feature and the nearest neighbors of KNN is proposed.Since diverse categories images have different visual features,Relief F is used to obtain the feature weight vector of each category in training set for weighing the distance between test images and training images; different weights are given for the K-nearest neighbors according to the distance to training images,so that the weakness of traditional KNN at the classification decisions is overcome effectively.Compared with the traditional KNN and feature-weighted KNN,the experimental result shows that this method has more accuracy and strong robustness for the number of the nearest neighbors." @default.
- W2375432812 created "2016-06-24" @default.
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- W2375432812 date "2015-01-01" @default.
- W2375432812 modified "2023-09-25" @default.
- W2375432812 title "Classification Method of Feature Weighted for Natural Images Based on Relief F and K-nearest Neighbors" @default.
- W2375432812 hasPublicationYear "2015" @default.
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