Sentence examples for features to combine from inspiring English sources

Exact(3)

For combining recognition results from all the features (last row), there are 48 recognition outputs (8 channels × 6 features) to combine.

For combining with ROVER, recognition results from all the features (last row in Table 2 (eight-channel task)), there are 56 recognition outputs (8 channels × 7 features) to combine.

By writing a function in R that makes use of the biomaRt Bioconductor package (29) as well as built in functions from R, we were able to extract positions for genomic features, to combine those with the 1000 Genomes variants from the database, and to produce a plot to visualize the data across the region (see Figure 6).

Similar(57)

One of the reasons for the immense interest in capillary electrochromatography (CEC) is its feature to combine chromatographic selectivity with the high efficiency and the miniaturization potential of capillary electrophoresis (CE).

1UP.com's staff stated that while the game's story was very weak, the gameplay was "another story", heavily praising the job system and the feature to combine abilities from different job classes, and gave it a score of B-.

Mango comes with dozens of new and updated features and add-ons to WP7, including app multitasking (multiple apps can be opened and run at the same time), the ability to make your phone a WiFi hotspot for up to 5 devices, an improved voice assistant that can go speech-to-text and text-to-speech and a Groups feature to combine contacts into quick lists.

Hence, as compared to the previous approaches of combining multiple selection tests that have limitations to incorporate only the statistics with p-values (Utsunomiya et al. 2013; Grossman et al. 2010), CSS has an appealing feature to combine the evidence of historical selection from any selection test.

Use the Make Stereo Track feature to combine a pair of single-channel or mono tracks into a set of stereo tracks.

This work presents the concept of Cascade Feature Selection to combine feature selection methods.

First, we propose a spatio-temporal bigraph-based feature fusion to combine different features.

We are motivated to improve the classification accuracies of classifiers using an ensemble method that uses feature-class and feature-feature mutual information to combine different subsets of features.

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