Kernel $$\ell ^1$$-norm principal component analysis for denoising
Author:
Publisher
Springer Science and Business Media LLC
Subject
Control and Optimization,Business, Management and Accounting (miscellaneous)
Link
https://link.springer.com/content/pdf/10.1007/s11590-023-02051-3.pdf
Reference18 articles.
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2. Markopoulos, P.P., Dhanaraj, M., Savakis, A.: Adaptive l1-norm principal-component analysis with online outlier rejection. IEEE J. Sel. Top. Sign. Process. 12(6), 1131–1143 (2018)
3. Candès, E., Li, X., Ma, Y., Wright, J.: Robust principal component analysis? J. ACM 58(3), 1–37 (2011)
4. Chierichetti, F., Kumar, R., Raghavan, P., Sarlos, T.: Are web users really markovian? In: Proceedings of the 21st International Conference on World Wide Web, pp. 609–618 (2012)
5. Kwak, N.: Principal component analysis based on l1-norm maximization. IEEE Trans. Patt. Anal. Mach. Intell. 30(9), 1672–1680 (2008)
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