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The objective of this section is to determine the most discriminative vector combination and the ideal number of features (n F ) to use.
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F3 only considers the number of examples discriminated by the most discriminative attribute, instead of all the attributes.
First, based on a scribbled image we determine the most discriminative textural features using linear discriminant analysis.
It finds a subspace defined by the most discriminative directions within a given training set of M- dimensional vectors classified into K classes.
The most discriminative subbands are fed into a linear discriminant analysis classifier.
Noise and distortions in a map will reduce the number of unique feature vectors, however, also then the central regions are most discriminative for classification.
We tested the capacity of the most discriminative single sensor (selected separately for each subject) to predict the Si category, using linear support vector machines (SVM) with a single feature.
Voxels at the complex center have feature vectors that are most different from those in other complexes and are therefore most discriminative for classification purposes (Fig. 5).
The feature vectors extracted from the measured signal are processed by GDA, with its dimension remarkably reduced from 350 to 12 while fully maintaining the most discriminative information.
Rule I: The most discriminative attribute was MIPS functional similarity.
LBP is the most discriminative feature type for "road" while color moment is the most discriminative feature type for "water".
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