Exact(40)
Finite element method classifies to two types (calculus variation principles and weighted residual methods).
With the built decision tree, the proposed method classifies test samples.
The 2nd step of the method classifies the detected transients into spikes and non-spikes using machine learning techniques.
The method classifies the input video as obscene if it detects more than five successive obscene frames.
As a result, the method classifies landform elements at a range of different spatial scales with unprecedented computational efficiency.
Our new method classifies image patches into several classes, for each class, a class-specific predictor is designed.
Similar(20)
Figure 5 shows that the method classified too many voxels as tumour, even outside the lesion mask.
In the MO sequence, the proposed method classified the relocated objects (the chair and the phone) as foreground components.
The first method classified patients as positive if both single marker classifications were positive (2 or 3 measurements).
The second method classified patients as positive if independent of the marker any three of the total six PCR reactions showed amplification.
Our method classified the original TF knockout targets into biologically interpretable and uninterpretable ones.
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