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Showing 1 to 3 of 3 for “"Fisher discriminant analysis (FDA)"”.
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On Sequence Clustering and Supervised Dimensionality Reduction
… Numerical results are provided to validate the analysis.</p> <p>For dimensionality reduction, the focus is on classification problem where label information in the training data can be leveraged for improved learning performance. A supervised dimensionality reduction method maximizing the …
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Statistical methods for learning sparse features
… first examines the limitation of the classical Fisher Discriminant Analysis (FDA), a supervised dimension reduction algorithm for multi-class classification problems. This limitation has been discussed by Cui (2012), and she has proposed a new objective function in her thesis, which is named …
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Techniques for automated classification of nighttime ionospheric images
… are explored. Additionally, the Local Fisher Discriminant Analysis (LFDA) algorithm is considered as a means to reduce the computational complexity of the classification process through dimensional reduction. It was found that a conditional random field (CRF) model provides the best …