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Novel Fast Linear Discriminant Analysis (F-TLDA) for Arbitrary-Dimensional Tensor Signal Data
Linear discriminant analysis (LDA) has been widely adopted for dimensionality reduction in pattern recognition and classification in data engineering for long. However, it is still quite challenging when one applies the existing LDA to deal with arbitrary-dimensional tensor signal data, especially,
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