Sentence examples for database used for training from inspiring English sources

We provide software and an extensive manually annotated video database used for training and testing the system.

The experimental image database used for training and evaluation of the CNN consisted of 2000 candidate images with various region sizes.

Then, distribution of the suffixes in the large text was compared with the distribution in the small database used for training here.

Similarly using a database of nondamaging variants, the likelihood that a variant is not disease causing can be estimated by (3)for variants with a PhastCons score of 1, and (4 for variants with a PhastCons score of 0, where C N is the total number of variants in the nondamaging allele database used for training.

Because P ij can be interpreted as the probability that the variant is at a conserved locus Yang, 1995, the likelihood that a variant is disease causing can be estimated by (1)for variants with a PhastCons score of 1, and (2)for variants with a PhastCons score of 0, where C D is the total number of variants in the disease allele database used for training.

Face literature ranging from face recognition to pose estimation reports that testing and training within the same database, even with non-overlapping training and testing subsets, can yield optimistic results as compared to experiments where databases used for training and testing are different.

Experiments are carried out on the CASIAv3-Interval [46] and the IITDv1 iris database [77], where all left eye images of the CASIAv3 database are used for training purposes (see Section 4.2) and all five images of left and right eyes of the IITDv1 dataset are used for performance evaluations.

We then built two labeled databases of 200 signals, each of length 5 s and at 11025 Hz; one database was used for training and the other was used for testing.

Total 3036 interactions of 1473 proteins extracted from sc-PDB database are used for training the models [4].

The models can later be used to synthesize new motion sequences without resorting to the database initially used for training [7 10].

In order to set both the optimal parameterization and use "rules" for this ANN, we perform an extensive sensitivity analysis on the optimization of (1) the internal structure and training algorithm of the ANN and (2) the "rules" used for choosing both the relative size and the composition of the databases (DBs) used for training and inferring with the ANN.