Sentence examples for candidate text from inspiring English sources

Then a two-layer classification mechanism is designed for classifying candidate text regions.

First, candidate text regions are extracted via an MSER detector enhanced by weighted median filtering to adopt the low resolution texts.

Meanwhile, the text segments between keywords will make up the content of the template and candidate text segments are retrieved from the corpus based on statistical analysis.

We add a normalization step to rectify perspective distortion before candidate text region classification which improves the accuracy and robustness of the final output result.

A candidate text is examined according to the following procedure.

The input image is first filtered with Fourier-Laplacian, and K-means clustering is then used to identify candidate text regions based on the maximum difference.

The candidate texts must be identical to a reference translation.

The Media Print Group said it had no influence on candidates' text.

Let us denote by (a^{i+1}_{u}) and (b^{i+1}_{u}) the semi axis lengths of the candidate ellipse (text {Ell}_{u}^{i+1}).

Then, an initial timeliness guaranteed candidate list (text {CL}^ = left {N_{1}, N_{2}, ldots,N_{n} right }) is formed and sorted according to their corresponding routing paths' ETD from small to large, where n is the number of next-hop nodes, and the path is the best path from one-hop neighbor node N i to the destination.

Whether areas outside of the ROIs tested here are capable of classifying actions across modality, and might therefore also participate in simulation and common coding, remains a question for future research, with the parietal cortex being an obvious candidate (see Text S1).