Sentence examples for cut classification from inspiring English sources

Exact(2)

Exact normalized cut classification requires calculations of eigenvalues and eigenvectors of the huge similarity matrix W. The Nyström method is a technique for finding a numerical approximation to the eigen decomposition, and it was widely applied to areas involving large dense matrices.

Difficulties in clinical management (e.g. treatment and prognosis) are related to the complex identity of gliomas, which lack reliable morphological and molecular signatures, precluding thus the establishment of a clear cut classification discriminating between different tumor subtypes [ 12].

Similar(58)

Furthermore, a recent case report investigated, using f-MRI, a 68-year-old patient suffering from excruciating trigeminal autonomic headache attacks, in whom frequency, duration and therapeutic response allowed no clear-cut classification as one of the subtypes of TAC [91].

For this reason, critics have found clear-cut classification of Crane's work problematic.

Biomarkers attract a clear-cut classification where there is corroborative evidence.

The categorical nature of our linguistic experience is directly reflected in the traditionally clear-cut linguistic classification of languages into tonal or non-tonal.

Tissue samples of snap-frozen melanoma primary tumours (tumour bank: TB62, TB69, TB71, TB93, TB97, TB104 and TB126) and melanoma metastases (tumour bank: TB21, TB31, TB35, TB43, TB90, TB95 and TB331) with clear-cut pathological classification were obtained from the institute's tissue collection (Institute of Pathology, University of Regensburg, Germany).

This is most likely the reason why these different algorithms could not propose clear-cut, identical classifications of these genes.

Findings lend support to the value of ERP and startle measures in identifying groups that cut across conventional classification systems.

The design equations, describing four fundamental parameters: pressure drop, flow recovery to underflow, corrected cut size and classification function, were modified by fitting with set of experimental data to obtain the system-specific constant parameters.

*Predicted outcome, classification cut off >0.1.

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