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There are various dictionary learning algorithms that are effective for classification tasks [31 34].
The expression profiles of miRNAs are effective for classification of human cancer [ 20], also several published studies showed a probable link between miRNAs and other human diseases [ 21], since microRNA signatures have been associated with well-defined clinicopathological features and disease outcome [ 22].
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Experiments state that our method is effective for classification.
Here, the sparse representation-based classifier (SRC) method, which has shown to be effective for classification of image data (e.g., face), is used to construct each weak classifier.
Fortunately, kernel functions that do not satisfy Mercer's theorem have been verified to be effective for classification of sequential data using a kernel function in [18].
These results show that the proposed parameters are effective for stress classification.
The experimental results show that the proposed classifiers are effective for accurate classification of pulse waveform.
Experimental results have shown that the higher layer visualizing feature extraction and the transfer learning deep networks are effective for the classification of small sample target objects in the sky.
The results provide evidence that the application of theoretically and empirically-derived classification principles are effective for improving the reliability of accident and incident classification systems in high hazard industries.
Experimental results demonstrate these rules are effective for training set construction in video semantic classification, and significantly outperform random training set selection.
In conclusion, our SDEVLAD is effective for image classification.
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