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Extensive researches have been carried out into hyperspectral image classification, most of which only use spectral information.
As per Wilcox's diagram and US Salinity laboratory classification, most of the groundwater samples are not suitable for irrigation due to the presence of high salinity and medium sodium hazard.
In video semantic classification, most of the learning-based approaches require a large training set to achieve good generalization capacity, in which large amounts of labor-intensive manual labeling are ineluctable.
According to Sulin's classification, most of the samples located in the lower quadrant of Sulin's diagram (Fig. 24) and characterized by sodium bicarbonate and sodium sulfate genetic water types, indicating meteoric water in origin.
Regarding percentage sodium classification, most of the water samples in the catchment classified under good suitable water class for irrigation use, but there was no unsuitable water class for irrigation use.
In the context of volcanic seismic signal classification, most of the features presented in the literature have been extracted separately from a single domain, such as time or frequency.
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Besides, the AU recognition error causes by the PAL-SVM and rule-based classifications, most of the false alarms result from facial points tracking error and/or incomplete occurrence of an AU when it is combined with others.
Based on the Koppen's climate classification, most portions of this area are categorized as D and C types.
Taking a top-down approach, we first looked at the categories at the highest level of classification (most general).
We conclude that the classification constructed on the 299 Aclame phage genomes is relevant for a global classification of most of the 624 newly analyzed genomes.
The standard complexity classes of complexity theory do not allow for direct classification of most of the problems solved by heuristic search algorithms.
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