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The taxonomic classifications were performed on assembled contigs and singletons using BLASTN against the NT database.
PAM50 classifications were performed on the Agilent dataset, the unadjusted 29K dataset, and the intraplatform ComBat adjusted 29K dataset.
Classification was performed on one single electrode at a time, taking the time samples as temporal features.
The actual classification is performed on sparse autoregressive features.
In Rea [11], HMM shot classification was performed on snooker footage.
Firstly, a numerical classification was performed on the collected soil profile data to arrive at soil taxa.
This classification was performed on basis of the absolute quantification as well as the above described ratios.
The training sites were determined and a supervised classification was performed on both images using Maximum Likelihood algorithm.
Sample areas were delimited on aerial photographs from 1986 and 2010, while an additional supervised classification was performed on a Landsat image acquired in 1986.
In the first step, a coarse feature classification is performed on each image patch to identify candidates which are suspected to contain cavities.
Using this measure, speech/background classification was performed on the game audio using a two mixture GMM as discussed in [15].
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