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These state-of-the-art methods can extract salient regions effectively.
While several studies indicate that nonlinear methods can extract valuable information from neuronal dynamics, others doubt their necessity and conjecture that the same information can be obtained using classical linear techniques.
Their work clearly shows how Deep Learning methods can extract high-level features from unsupervised data and demonstrates the advantages of using Deep Learning with unsupervised data (Big Data).
What available interpretation methods can extract the most DNA information for identifying criminals?
These methods can extract a subset of genes that are relevant to the disease or phenotype.
Compared with the classical IR-based methods, these methods can extract semantic knowledge from biomedical texts in a higher level.
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Supposedly this method can extract 60% of the oil in a reservoir.
The proposed method can extract these feature parameters with limited radar measurements.
As a result, this method can extract linear features with different widths.
The results show that the proposed method can extract fault features of defective rolling element bearings with high computational efficiency.
The results show that the proposed method can extract the object reliably and quickly from the background.
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