Sentence examples for computing similarities from inspiring English sources

Exact(18)

This is more realistic in real-world identity management scenarios and requires more cost in computing similarities between references.

Run times for the AAP similarity calculations are significantly longer than for computing similarities using the Tanimoto coefficient and binary fingerprints.

We can generate different multiple-molecule similarities by three general strategies: (1) aggregating the separately ranked results from single-molecule queries, (2) aggregating the individual pairwise similarity measures, and finally (3) aggregating the fingerprints into profiles and computing similarities between these profiles and single molecules.

In order to ease this problem, we exploit the temporal context information by generating a group of history target templates adaptively according to previous tracking results, computing similarities between each candidate with them and the maximum will be used in the third part.

Both GS and MHC2SK have their roots in SRBF, which only considers substrings of a fixed length for computing similarities.

Various incarnations of these kernels use different metrics for computing similarities between paths [ 18, 23], but performance issues when computing large networks plague almost all of these kernels.

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Similar(42)

However, the Euclidean distance is not a good metric for computing similarity between two probability distributions.

The MI method measures features of text by computing similarity of word terms 'w' and category 'c'c

Then, Zernike moments are calculated from these normalized images, followed by recognizing the spermatogonia through computing similarity of vectors composed with Zernike moments using Euclidean distance.

Thus we will be reducing the graph on similarity bases and by computing similarity that gives us a final reduction graph.

As before, we did a basic quality control, computing similarity scores and sequence entropies, and applying several fold recognition tools.

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