Sentence examples for samples to adapt from inspiring English sources

The proposed scheme employs saliency confidence map and classification confidence map to select the reliable positive samples to adapt to the target's appearance variation, as well as the reasonable negative samples to handle the background clutter and similar objects.

If the consistency allowed a collected sample to adapt to the shape of any container it was characterised as "diarrhoea".

By investigating more epitopes and shifting the targets from well-established Ag-specific T cell lines to highly heterogeneous clinical samples, our aim was to adapt, simplify and standardize this peptide:MHC cellular microarray system for translational studies.

Craiu et al. [ 25] targeted the posterior with an ensemble of chains, using the covariance of samples across all chains to adapt the proposal covariance for a set of Metropolis-Hastings chains.

The sampling pattern is designed to adapt to the nature of k-space energy distribution obtained from the static high-resolution data.

At first, our algorithm determines whether the image presents any skin pixels at all, and subsequently, it extracts the skin sample that is used to adapt the skin model and to build the seeds.

The rapid assessment provided critical information about how to adapt sampling strategies and questionnaire items to each local situation.

The proposed method utilizes global information about each class of training sample space and can generate RBF hidden neurons incrementally to adapt the sample space.

As ILRBF-BP utilizes global information about each class of training sample space, it can generate RBF hidden neurons incrementally to adapt the sample space, and the hybrid RBF-BP network architecture improves the network performance further.

Finally, we discuss how to adapt engineered samples for high-throughput imaging with the aim of understanding the kinetic relationships between ligand binding and the dynamic regulation of the GPCR signalosome.

When classifying a problem, a nonlinear algorithm can supply a better classification surface to adapt the sample space.