Sentence examples for can be recognized using from inspiring English sources

Even so, we believe that we can apply our method to any task which meets the following conditions: each of the modalities can be recognized using methods such as HMMs, the relationship between modalities can be described by constraint rules, and the timing difference between modalities can be described as a probability density.

The highly homologous active ERM proteins are phosphorylated on a C-terminal threonine and can be recognized using a specific anti-P-ERM antibody which does not discriminate between the three isoforms.

This potential problem can be recognized using the MLSA website by examination of the individual gene trees and the resident or foreign status of the alleles (and the percentage divergence) in strains that are outliers of known species clusters.

LCs and LCH cells can be recognized using electron microscopy by the presence of specific Birbeck granules [ 1], and by immunohistochemical staining with antibodies recognizing langerin (CD207) or CD1a [ 51].

IDH1 mutations can be recognized using a mutation-specific antibody directed against the most common mutation site in WHO II° gliomas [ 3, 18, 19, 37, 44], but generally absent in LEAT [ 15, 30, 46, 65, 88].

This unsupervised analysis of genome-wide molecular data identified three robust disease categories that can be recognized using well-established biomarkers, including IDH, 1p/19q, TP53, ATRX, and TERT.

However, in everyday life, human motion can also be recognized using acoustic cues.

Accordingly, the WT1 wild-type and mutant subsets of tumours can clearly be recognized using genome-wide expression analysis (Corbin et al., 2009; Gadd et al., 2012; Li et al., 2004).

Forgeries in which modern lead or white lead pigment has been used can be recognized by using a technique called Pb(Lead -210-Dating. Pb-210 is a naturaLead -210-Datingdioactive eLead -210-Datingart of the uranium-238 Radioactive decay series, and has a half life of 22.3 years.

Compared with traditional clustering techniques, there is no need to suppose the data distribution as spheral in spectral clustering method; thus, the nonspheral distributed clusters can be recognized by using the eigenvectors of the normalized similarity matrix.

On the other hand, this approach assumed that the section-heading strings themselves can be recognized by using simple heuristics rules or patterns.