Sentence examples for based on features such from inspiring English sources
This is based on features such as linear predictive cepstral coefficients (LPCC), mel-frequency cepstral coefficients (MFCC), or log area ratio (LAR) [1 3].
Our neural network model can classify energy efficient data structures based on features such as the number of elements, frequency of operations, interface and set/bag semantics.
Besides basic textual retrieval, users can also search based on features such as spatial proximity, temporal freshness and/or social closeness.
Sociologist Kevin Lynch showed that everyone living in an urban environment creates their own personal "mental map" of the city based on features such as the routes they use and the areas they visit.
The argumentation that Rawls used to obtain a solution for these hypothetical uncertainties is based on features (such as the impossibility of obtaining any form of probabilistic information) that do not apply to real-world risks.
In addition, some chemical categories were more appropriately defined by a combination of logical expressions based on features such as structural patterns, physico-chemical properties or chemical formulae (Additional file 2: Figure S2).
The Wallace score rates macroscopic lesions on a scale from 0 to 10 based on features reflecting inflammation such as hyperemia, thickening of the bowel and extent of ulceration.
Supplementation of vitamin D in cases of deficiency is therefore, only subjective and should be based on features of deficiency (such as due to hypocalcemic seizures, bowed legs, rickets on X-ray) [24] rather than only the serum levels.
The construction of models based on feature reduction such as principal component analysis (PCA) [22] and partial least squares regression (PLS) [23] compress the original dataset generating a smaller number of variables.
The proposed system architecture is used for description in real-time image object's shape basing on features such as contour and occupied region.
Wrapper methods based on backward feature elimination, such as SVM-RFE (Guyon et al., 2002), are limited in choosing a small set of highly discriminative features.
