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Kim et al. [19] have proposed a combined subspace-based approach using both global and local features obtained by applying linear discriminant analysis (LDA -based method for face recognition.
Prostate cancer diagnostic signatures were generated by applying linear discriminant analysis to microarray and real-time RT PCR (qRT PCR) data from normal and tumoural prostate tissue samples.
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Fisherfaces applies linear discriminant analysis (LDA) to transform data into directions with optimal discriminability.
Next, we applied Linear Discriminant Analysis (LDA) [ 22] to visualize our encoding.
Lasso applies linear discriminant analysis with minimizing sum of regression coefficients.
The resulting appended feature vector is then reduced in dimension to match the original dimensionality by applying heteroscedastic linear discriminant analysis (HLDA) [32].
This was achieved by applying three linear discriminant functions (LDFs) to each of the spectra.
A PP was computed by applying diagonal linear discriminant analysis to the 35-miRNA PP of the TS patients (Table 2 and 3).
This is done by applying a linear discriminant analysis to optimize the weights of those components to separate validated links from nonvalidated links.
To measure how much information is present in the pattern of neuronal activity on a single trial, we also computed the classification rate, the percentage of trials where the stimulus is correctly decoded from the neuronal responses by applying the linear discriminant.
We approached this detection problem by employing a template-matching-based method to extract the morphological information from EEG signals first, and then applying a linear discriminant function (LDF) to the features selected for pattern classification.
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