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Fundamentally, the unified BioTCM ontology provides a common generalized terminological and assertional base for mapping from multiple sources to a unified mapping schema.
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To stitch together pose graph maps from multiple visual mapping sessions, we employ spatial separator variables, called anchor nodes, to link together multiple relative pose graphs.
Texture baking (also known as "render to texture") [54] is the process of creating a single texture map from multiple materials that have been applied to a model.
Recently, Wei et al. proposed an architecture termed 'Selective Convolutional Descriptor Aggregation (SCDA)' [13] to select useful convolutional descriptor by feature maps from multiple layers in a CNN, which achieved good performance in both fine-grained retrieval and fine-grained recognition.
Using forest cover maps from multiple time periods and deriving the associated transitions between fragmentation classes over time can be used to derive major forest cover changes and dynamics, such as primary and secondary deforestation, primary and secondary degradation and regeneration which provide more information on forest dynamics and uses than simply estimating forest cover [38, 54, 55].
Second, the precise locations of the best electrodes are not consistent across subjects, resulting in further deterioration of the apparent single-electrode decoding accuracy when decoding maps from multiple subjects are averaged.
We plotted two half-radial distributions of cells in each zone as a heat map (color coded 2D array) (Fig. 5A, bottom), and we grouped the heat maps from multiple zones such that replicates of the same condition are stacked on top of each other (Fig. 5B).
MtiBase provides comprehensive annotation of the miRNA target interaction maps from multiple computational and experimental data.
Inference of ancestral states is more complicated for these cases, even when high-density maps from multiple passerine species are available.
While traditionally a genetic map has been generated from a single population, recent efforts to create maps from multiple populations, referred to as consensus maps, have gained much interest in the scientific and breeding community.
While traditionally a genetic linkage map has been generated from a single population, recent efforts to create maps from multiple populations, referred to as consensus maps, have gained much interest in the scientific and breeding community.
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