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We successfully aggregated three data sets to produce a high resolution classification that distinguished usable from non-usable green space.
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Our classification scheme offers a higher-resolution classification that is in accordance with phylogenetic as well as experimental data and, thereby, provides a novel basis for experiments, such as comparative and functional analyses of Hox-proteins.
The overview and higher-resolution classification of Hox-proteins we present will hopefully help clarify some of the existing controversial assignments and facilitate the selection of comparable sequences across species.
The samples were categorized by high-resolution classification, while about 1300 mtDNA molecules (650 ultranonagenarians and an equal number of controls) were completely sequenced.
The HR-pQCT scans were analysed using a new method developed for this study: high resolution tissue classification (HRTC).
However, the strains were investigated by spoligotyping only, allowing neither for high resolution phylogenetic strain classification nor for analysis of transmission dynamics [ 11].
Texture Based Classification of High Resolution Remotely Sensed Imagery [10].
Therefore, numerous studies have addressed tree species classification using high resolution remote sensing.
Based on very high resolution satellite images, object-based classification methods can be used to produce large scale maps for forest management.
We used two sources of data for training the classifier and for testing the result of the classification: very high resolution satellite imagery and a field survey.
One common approach to detecting urban features from high resolution images is to use automatic classification methods.
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