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Accurate characterization of mix plastic waste using ATR-FTIR spectroscopy and machine learning methods. [PDF]
Zhou Z, Shao H, Liu B, Xie Y, Wang W.
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Principal Component Analysis for any type Sequences (PCA-Seq)
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Different Behavioral Measures of Conditioned Magazine Activity Can Tell Different Stories about Brain Function. [PDF]
Volz SG +9 more
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Statistical Shape Modeling of the Clavicle: Morphological Variation, Sex Differences, and Surgical Implications. [PDF]
Zhang G +6 more
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Principal components analysis (PCA)
Computers & Geosciences, 1993Principal Components Analysis (PCA) as a method of multivariate statistics was created before the Second World War. However, the wider application of this method only occurred in the 1960s, during the “Quantitative Revolution” in the Natural and Social Sciences.
Andrzej Maćkiewicz, Waldemar Ratajczak
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PCA-Pruner: Filter pruning by principal component analysis
Journal of Intelligent & Fuzzy Systems, 2022Deep Convolutional Neural Networks (CNNs) have been widely used in various domains due to their outstanding performance. However, they simultaneously bring enormous computational overhead, making it difficult to deploy to mobile and edge devices. Therefore, researchers use network compression techniques such as quantization, knowledge distillation and ...
Zhang, Wei, Wang, Zhiming
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