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The porosity in caving regions can be chosen by the relationship between rock features, mining height, and the position of the goaf, as proposed by Liang et al. (2009).
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His first features mined Fengyang for gritty, intimate portraits — a pickpocket in "Xiao Wu," a musical performance troupe in "Platform," young lovers in "Unknown Pleasures".
Compared with the top features mined by ECFP fingerprint [2], the G14 contains both NCO and A O A.
Semantic feature mining is essential to semantic-based image retrieval technique.
Here, we choose sigmoid function as the activation function of the layers for spectral feature mining.
Therefore, in this article, a novel approach is proposed to achieve region-level semantic feature mining.
Therefore, DNN can be used for fault feature mining and intelligent fault diagnosis.
However, most of the existing high-level semantic feature mining methods are based on pixel-level features.
In this paper, we introduced a novel feature mining algorithm, contextual deep learning, which is especially effective for HSI classification.
In this work, we present an effective way to combine unsupervised feature learning with discriminative feature mining.
Data mining techniques, including text mining, linguistic feature mining, and classification by text features, can be used to analyze the "caller side" of the transcripts of these calls.
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