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The major part of the appearance-based techniques presented above is applied on features that verify the pose similarity assumption.
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Training triphone system with LDA + MLLT + SAT: Then, speaker normalization was applied on above features using feature-space maximum likelihood linear regression (fMLLR), also known as constrained MLLR (CMLLR) [26].
"Max" and "Min" in each subfigure are referred to as whether Dfs largest or smallest measurements were adopted corresponding to each feature selection method, as illustrated in (7) and (8). Figure 5 EER performance of EP + DBR, EP + BRGC, and EP + LSSC discretizations with feature selection ( D fs = 50) applied on FDA-extracted features.
Further de-correlation was applied on resulting features using maximum likelihood linear transform (MLLT) [24] which is also known as global semi-tied covariance (STC) [25].
This paper presents a novel technique for tool wear classification using hidden Markov model (HMM) technique applied on the features extracted from the gray level co-occurrence matrix (GLC M of machined surface images.
During training stage z-score standardization was applied on these features [ 19].
SVM was applied on these features to classify real vs pseudo pre-miRNAs achieving 90%% of accuracy.
During training stage PCA was applied on these features in order to reduce the redundant and/or noisy data.
So, the t test is applied on each feature in our data set and compared to the P value for each feature as a measure of how effective it is at separating groups.
The system checks if the case can be applied on the feature or not by the validity checking procedure.
Sophisticated time series exploration with statistics evaluation, visual interpretation, and structural analysis by using our interactive software "Visual Analysis of Time Series" (ViAT): Predefined, adjustable data interpretation schemes are applied on the feature data.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com