Sentence examples for both template selection and from inspiring English sources

The method uses an effective consensus strategy by combining PSI-BLAST, IMPALA, and T-Coffee in both template selection and target-template alignment.

We propose three methods of template selection and compression to address this problem.

In this section, the template selection and the polyhedron establishment will be introduced in detail.

The performances of template selection and compression exhibited a dependency on the local distance measures.

Figure 8 Phone accuracies (percent) for methods of template selection and compression with KL and LLR local distances.

The flowcharts of the above-discussed three template selection and compression methods are given in Figure 5.

Table 4 Computational overhead (percent) per frame using all templates, template selection, and template compression for TIMIT phone recognition   All templates Template selection Template compression Test frame labeling overhead 40.0 40.0 22.4 Rescoring overhead 22.0 4.4 4.4 Overall computational overhead 62.0 44.4 26.8.

Lumini and Nanni [11] presented a novel clustering method for template selection, and this method is better than MDIST in their study.

The three methods of template selection and compression interact with the LLR and KL local distances in different ways, and therefore each selection or compression method has its most compatible local distance.

In comparison with the TIMIT phone recognition task, even though there were more GMMs to be used for test frame labeling and more templates in template clusters, the computation overhead did not increase much, especially for template selection and template compression.

Optimal template selection, and target-to-template alignment is key to the success of any modeling exercise [40], [41].