Sentence examples for synthesized features from inspiring English sources

Nonetheless, allowing a dynamic output FV dimensionality is an advantage, as specific applications (or classifiers) requiring synthesized features may have strict computational (or other) constraints on the FS dimensions.

The synthesized features are much more distinct from each other than the original ones.

First, a measure for evaluating the discrimination capability provided by the synthesized features is proposed.

The final obtained synthesized features were tested with multiple evaluations, demonstrating their enhanced discrimination capabilities over the original FSs.

The results, shown in Table 6, indicate clearly improved classification performance obtained by the new synthesized features.

The classification error (CE) results obtained with the synthesized features for the both databases were compared to the errors associated with the original FSs.

Ideally, each synthesized feature is in the closest proximity of its own class centroid, thus leading to a high discrimination among classes as illustrated in Figure 2.

Unlike many existing feature generation approaches, the dimensionality of the synthesized feature vector is also searched and optimized within a set range in order to better meet the varying requirements set by many practical applications and classifiers.

A new coordination compound [Mg(L)(H2O 5∙H2O] (NKU-109, H2L = 5- 4H-1,2,4-triazol-4-yl benzene-1,3-dicarboxylic acid) was solvothermally synthesized, featuring a supramolecular hydrogen-bonding network.

From this series, we have investigated the peptide LV16 (KKKW LVLV LVLV LVLV LVLV KKK), which was synthesized featuring either a free N-terminus or a saturated N-acylation of 2, 8, 12, or 16 carbons.

To synthesize features with no genetic effects, we ignored the term Zu in Eq. (1) and created ε by randomly sampling from the standard normal distribution.