Sentence examples for feature training from inspiring English sources

(Some workplace Bible-study groups, including those at the Riverview bank, feature training in how to distinguish between God's voice and random thoughts).

The method combines prior knowledge on the structure of the vehicle, based on the analysis of vertical symmetry of the rear, with appearance-based feature training using a new HOG-based descriptor and SVM.

During the non-transfer learning higher layer visualizing feature extraction process, we chose the node number 400 of the hidden layer in the SAE model and the iterations 400, the training parameters were set to be the same as λ = 3 × 10− 3, and the number of the training parameters β = 5 and ρ = 0.035 during the SAE higher layer visualizing feature training process.

To compare the performance of MetalionRNA with that of WebFEATURE, we made predictions for this structure using our default settings, as well as after retraining our potential on the FEATURE training set.

Then, we demonstrate that training causes striking changes in this circuit: after feature training, identifying a target in noise is not disrupted by PPC stimulation but instead by LO stimulation.

Using a potential calculated from the FEATURE training set, MetalionRNA predicted only two of the seven ions at the first six positions of the ranking, with accuracy of 0.8 and 0.6Å, respectively.

Obviously Thomas, and the Little Red Train series both feature trains.

The pseudo labels are found as a weighted combination of base classifiers (one for each feature) trained from the labeled source data.

In the first stage, we used the high-dimension CWT-F0 features for prosody features training.

After features training, the decision threshold could be obtained and traffic congestion was carried out.

The constraint acts as a guidance for features training to concentrate on non-occluded facial parts.