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They can be used for supervised and unsupervised classification.
When correlating the samples with the corresponding class labels, canonical correlation analysis (CCA) can be used for supervised feature extraction and subsequent classification.
There are many algorithms that might be used for supervised classification [ 28], including SVMs [ 29], RFs [ 23], and boosting [ 30].
In other words, the test set must not be used for supervised feature selection (or more generally, supervised preprocessing).
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Half of these data were used for supervised model adaptation.
First, we describe a generic framework, EDS, which has been specialized for the generation of audio features and is used for supervised classification and regression problems.
In most cases, MDL is used for supervised learning as a penalty term on the error function or as a criterion for model selection [40].
A Laplacian edge detector was used for supervised training where the training set contained images and edge images corrupted with noise.
Initially, trajectories captured from enrollment videos are used for supervised learning of ensembles, and then videos from various operational sessions are presented to the system for FR and self-update with high-confidence trajectories.
Maximum likelihood procedures were used for supervised classification of land cover data, which gave more accurate results than other classification methods such as Decision Tree-, Minimum Distance- or K-Means Classification [40] [42].
Mapped probesets were used for supervised clustering analysis.
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