Sentence examples for based on three features from inspiring English sources

Firstly, hot terms are extracted based on three features: the frequency of the terms used in the document collection; the location of the terms within a document; the breadth of terms distribution in the document collection.

The emergence of an SNPO branch from the resonant saddle homoclinic is standard (see [24]), and based on three features: (i) the ratio of eigenvalues is perturbed regularly upon variation of a parameter (C), (ii) the separatrix connection breaks regularly upon variation of another parameter (A), and (iii) the divergence integral along the homoclinic loop is nonzero.

PCR genotyping was based on three features to distinguish WT CENP-F from Cre-mediated CENP-F exon 1 5 deletion: presence of the 5′ loxP site upstream of CENP-F, generation of a DNA band only being possible with recombination after Cre-mediated excision, and the presence of the cTNT-Cre gene.

He presented an explanation for the origin of good will and conscience, based on four features.

The comparison is based on five features: the solution type column shows whether the approach is based on a cross-layer or layered solution.

The proposed segmentation works with very little information and is based on two features of the H.264 compressed video: motion vectors associated to the macroblocks and decision modes.

An EMG removal algorithm was developed based on two features: Lack of correlation between frequency bands and energy-spread in frequency.

The strategies are reviewed in detail based on five features, which are the decision variable, objective analysis, constraint, method and tools.

The proposed model is based on nine features including construction cost, side costs (cost of replacement, maintenance, and repairs), pollution, electricity generation, profit, renewability level, green economy, rate of return on investment, and consumption.

The first edition of the International Classification of Headache Disorder (ICHD-1) described the general criteria for TTH based on five features: total attack number, headache duration, pain characteristics, associated symptoms, and non-other headache.

The texture identifier model extracts thirteen features to recognize texture type and the porosity analyzer determines percentage of each type of porosity based on eleven features extracting from the thin section image.