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In this paper, 35 objective metrics were benchmarked on a database of 240 compressed HDR images using subjective quality scores as ground truth.
In total, 35 objective metrics were benchmarked on a database of 20 HDR contents encoded with 3 compression algorithms at 4 bit rates, leading to a total of 240 compressed HDR images, using subjective quality scores as ground truth.
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The method has been benchmarked on a set of 244 different Mendelian diseases associated to more than two proteins, as reported in the OMIM database.
When used for a progressive alignment this considerable enhancement in speed came at a cost of several percent in alignment accuracy, as benchmarked on the Pfam database of aligned protein families [ 15].
The algorithm has been benchmarked using a database of 2000 images.
A benchmark of different classification methods is proposed on a database recorded from sixteen healthy subjects during a rapid serial visual presentation task.
Given the limited number of solenoid sequences, the full set was used to benchmark on a larger sequence database, as performance on both subsets is similar for REPETITA.
To achieve the latter benchmarks, a database with several active and inactive compounds is required.
We performed benchmarking tests on a large set of nucleic acid and protein sequences For protein benchmarks we used the benchmark database BALIBASE 3 and an updated release of the database IRMBASE 2 for assessing the quality on globally and locally related sequences, respectively.
OLTP-Bench has been introduced for benchmarking DBMSs, and database-as-a-service systems [50].
To allow a straightforward comparison with state-of-the-art methods [6, 8 10] the proposed approach has been experimentally tested on a benchmark database of about 4000 images belonging to fifteen different basic categories of scene.
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