The SVM algorithm trains a classifier by representing the input feature vectors, using a kernel function in the majority of cases, onto a high-dimensional space, and then selects a discriminating hyperplane that separates the two classes with maximal margin and the least error.
The recognition of the substructures related to a high rank is facilitated by representing the weight of each feature with a color code, as it was proposed by Rosenbaum et al. [31].
The angles between these rays or slots are correct, and slotted templates can be fitted together by inserting studs, which represent the features, into the appropriate slots and sliding the templates so that each stud engages the slots in all the pictures showing the corresponding feature.
The term "diagnostic feature" is to represent the features used by human doctors for clinical diagnosis, such as tumor size, SUV, CT values, and image contrast.
(16 where (leftlangle {g_{kl} g_{km} } rightrangle) is the ensemble averaging, and the weights are sorted out in descending order (W_{1} ge W_{2}, ldots,W_{N}, ge 0), and higher weights correspond to mode observations that represent the features shared by many observables.
In this current work, the optimization strategy developed previously is improved by including the mechanical properties representing the geological features.
Accurate VAD results can be expected if the speech characteristics represented by the features are not masked by background noise or other interfering signals.
The neighbouring feature function extracts all 2-step dependency paths from a word, represented by the features extracted by the word feature function, plus word and dependency n-grams (n=2; 3; 4), word n-grams (n=2; 3) and dependency n-grams (n=2), where each word is represented by its base form.
On the other hand, quiet emotion is just a measure of energy corresponding to the activity dimension only, thus it can be more successfully described and represented by the features employed.
