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Fault diagnosis of rotary machine is becoming extremely important because of the increasing complexity of modern industrial systems and the rising demands for quality, cost efficiency, reliability, and safety. In this paper, a fault diagnosis method based on complementary ensemble empirical mode decomposition (CEEMD)-sample entropy (SampEn) combined with random forest (RF) is presented and applied...
By using intensity probability density and color invariance model, a novel feature-based color image watermarking method is proposed in this paper. Firstly, the uniform and robust feature points are extracted in the color invariance model by utilizing modified speeded up robust features (SURF) detector, in which the intensity probability density gradient is used instead of intensity gradient. Then,...
We consider the problem of recognizing human actions from still images. We propose a novel approach that treats the pose of the person in the image as latent variables that will help with recognition. Different from other work that learns separate systems for pose estimation and action recognition, then combines them in an ad-hoc fashion, our system is trained in an integrated fashion that jointly...
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