2019
DOI: 10.1016/j.undsp.2018.12.004
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Improvement in the information-oriented construction of temporary soil-retaining walls using sparse modeling

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Cited by 5 publications
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“…In future, we plan to apply and compare nonlinear mode decomposition methods (e.g. K-SVD (Aharon, Elad, and Bruckstein, 2006;Otake, Kodama, and Watanabe, 2019b), kernel PCA (Schölkopf, Smola, and Müller, 1998), robust PCA (Candès et al, 2011), the introduction of multiresolution representation, etc.) to investigate more appropriate contractions with feature extraction.…”
Section: Principal Component Analysis (Pca) Of the Input Parametersmentioning
confidence: 99%
“…In future, we plan to apply and compare nonlinear mode decomposition methods (e.g. K-SVD (Aharon, Elad, and Bruckstein, 2006;Otake, Kodama, and Watanabe, 2019b), kernel PCA (Schölkopf, Smola, and Müller, 1998), robust PCA (Candès et al, 2011), the introduction of multiresolution representation, etc.) to investigate more appropriate contractions with feature extraction.…”
Section: Principal Component Analysis (Pca) Of the Input Parametersmentioning
confidence: 99%