Recovering Clean Data with Low Rank Structure by Leveraging Pre-learned Dictionary for Structured Noise
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software
Link
https://link.springer.com/content/pdf/10.1007/s11063-023-11164-w.pdf
Reference49 articles.
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2. Kwak N (2008) Principal component analysis based on L$$_{1}$$-norm maximization. IEEE Trans Pattern Anal Mach Intell 30(9):1672–1680
3. Ding C, Zhou D, He X, Zha H (2006) R$$_{1}$$-PCA: rotational invariant L$$_{1}$$-norm principal component analysis for robust subspace factorization. In: Proceedings of the 23rd International Conference on Machine Learning, pp. 281–288
4. Schölkopf B, Smola A, Müller K-R (1998) Nonlinear component analysis as a kernel eigenvalue problem. Neural Comput 10(5):1299–1319
5. Wright J, Ma Y (2010) Dense error correction via L$$_{1}$$-minimization. IEEE Trans Inf Theory 56(7):3540–3560
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