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US08744172B2 Image processing using random forest classifiers 有权
使用随机森林分类器的图像处理

Image processing using random forest classifiers
Abstract:
A method of performing image retrieval includes training a random forest RF classifier based on low-level features of training images and a high-level feature, using similarity values generated by the RF classifier to determine a subset of the training images that are most similar to one another, and classifying input images for the high-level feature using the RF classifier and the determined subset of images.
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