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NER methods often rely, implicitly or explicitly, on some form of word segmentation.
MR CT registration methods often rely on the statistical intensity relationship between the images.
Current domain prediction methods often rely on sequence similarity to conserved domains and as such are poorly suited to detect domain structure in poorly conserved or orphan proteins.
State-of-the-art methods often rely on complex apparatus and controlled environments, and even if they are able to acquire reliable SVBRDFs, the whole process usually takes a long time and generates a large amount of data, that is often redundant.
Such methods often rely on electrostatic features of the proteins.
Qualitative methods often rely on interviews of relatively few individuals with special characteristics (9).
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Traditional ISH-methods often rely strictly on hybridization and stringent washing for specificity.
Current alternatives to this method often rely on atomic force microscopy (AFM).
This kind of method often rely on criteria that are too heuristic and does not allow the user to set independently the detection and false alarm probabilities (8).
To estimate the ingested dose, this method often relies on published food toxicant concentration values external to the study [ 7].
Such DGTD methods most often rely on explicit time integration schemes and lead to block diagonal mass matrices.
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