Sentence examples for dataset places from inspiring English sources

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They use a public pre-trained CNNs model, Places CNNs, trained on the scene-centric dataset Places [26] with over 2.5 million images of 205 scene categories, as an efficient whole-image descriptor generator for LCD.

This causes some concern because our dataset places A. arenarius as a sister clade to section Flavi with good support (bootstrap of 90% for NJ and 100% for MP analyses; 69% Posterior Probabilities for the BI analyses; Figure 6), contrary to suggestions that it is unrelated to any section of Aspergillus [ 24].

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Both ITS and cpDNA dataset placed P. cardaminifolia in Primulina with high (LB = 98, PB = 97) and low (LB = 64, PB = 70) supports in ITS and cpDNA datasets, respectively (Figure 6), confirming its generic placement.

ML and BI analysis using the concatenated dataset placed strains of each species in well-supported clades.

This agrees with the poorly supported rDNA based analysis of Lumbsch et al [ 30] but is in disagreement with Lutzoni et al [ 3], who based on a four gene combined dataset placed the Dothideomycetes as a sister group to the Sordariomycetes.

After Bayesian integration, we use center bias to conduct post-processing to obtain the final stereo saliency map, because many datasets place the salient object or region in the center of the image [37].

We demonstrate that in E. coli, WG-FAST can be used to genotype from metagenomic datasets, place samples accurately at extremely low reference genome coverage, and provide a confidence landscape when assessing placement confidence.

Moreover, levels of catalysis as judged from published kinetic data and factor levels extracted from the genome-wide datasets place sustainable nucleotide exchange rates at levels that are required to match the predicted translational activity.

We also collected a panel of reads containing D-D fusions in our dataset and placed them in the supplementary material.

We believe the most reliable studies are "Returns to Angel Investors in Groups" and "Expected Returns to Angel Investors," both of which use the Kauffman Foundation's Angel Investor Performance Project (AIPP) dataset and place angel IRRs north of 30percentt.

We chose two speech signals from the TIMIT dataset, and placed them at positions [4.8, 3.25, 1.5] and [2.75, 3.8, 1.5], whose azimuth angles are, respectively, 60 and −30° with reference to the normal to the microphones.

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