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Exact(3)
In this process, the factor inherent to the element of feature vectors and the factor among different features are considered.
In this manner, the factor inherent to the element of feature vectors and the factor among different features can be disentangled.
Thus, 16 sets of coefficients features are further fused with GND-ICA by arranging them as a two-way tensor; in this technique, the factor inherent in the element of feature vectors and the factor among different features are considered.
Similar(55)
The remaining three elements of feature vector are pixels, USV color, and components.
In such a sparse representation, only k elements of feature vector Φ(g i) are non-zero.
A gene with highest classification accuracy is chosen as the most important feature or the first element of the feature set.
A gene with highest classification accuracy is chosen as the most important feature and the first element of the feature set.
We therefore introduce a general distinction between metaphoric (elements of features) and others.
As each element of a feature vector corresponds to an element of the weight vector, we can extract effective features contributing to the prediction by sorting elements of according to the corresponding values of the weight vector.
We will also focus without loss of generality on one particular element of the feature vector.
When performing the classification, each element of the feature vectors will be used as a separate input for the classifier.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com