SVM semi-supervised classification
2016-08-23
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Using semi-supervised SVM image classification. Using the literature [1] The method of supervised all valid data (data labeled and unlabeled data) from the image feature learning using image rich category attribute, the automatic collection of generating an image collection prototype set of existing data, and feature sets for each prototype learning, these prototypes will feature projection series centralized generating image features for image classification. And its performance is compared with the conventional boundaries determine the classification of unlabeled images based on semi-supervised image classification method.
matlab
分类
图像
svm
监督
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