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- W2765708170 abstract "We propose a regularised version of the classical singular value decomposition for simultaneous outliers and associated important bands selection. The contributions are twofold: First, we exploit sequential optimisation techniques in L <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>0</sub> formulation to obtain sparse solution of classical principal component analysis. Second, we have develop new formulation for the anomaly detection problem where the simultaneous identification of important bands can be performed. Experiments in real and simulated data are included to validate the proposed method." @default.
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- W2765708170 date "2014-06-01" @default.
- W2765708170 modified "2023-09-26" @default.
- W2765708170 title "Anomaly detection and important bands selection for hyperspectral images via sparse PCA" @default.
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- W2765708170 doi "https://doi.org/10.1109/whispers.2014.8077604" @default.
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