Sentence examples for segment input from inspiring English sources

We segment input images into three kinds of regions: foreground, shadows, and background.

We thus initially segment input text into sentences and those further into tokens.

The segments input file indicates which parts of the experiment need to be coded.

The segments input file is a csv file separated by commas with the following columns: (1) segment id, which is an unique number for each row; (2) row number in the raw file where the segment starts; (3) row number in the raw file where the segment ends.

For example, if we use nine-frame segment of input, we use in total 29 neurons, consisting of 9 input neurons, 1 bias neuron, 18 hidden neurons, and 1 output neuron.

Two different algorithms are presented to segment the input EPI volume into its component EPI tubes.

We automatically segment the input curve into partial arcs at these intersection points.

The SLIC algorithm can segment an input image (left image) into multiple uniform and compact superpixels.

The article [5] used watershed algorithm to over segment the input image firstly, then SC method was used for clustering.

The segment is input into link layer and encapsulated as N fr frames with length L fr.

Next, we segment the input point sequence into partial arcs at those p α points which have different signs from their neighboring points.