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- W4298209073 abstract "Auto-Associative models cover a large class of methods used in data analysis. In this paper, we describe the generals properties of these models when the projection component is linear and we propose and test an easy to implement Probabilistic Semi-Linear Auto- Associative model in a Gaussian setting. We show it is a generalization of the PCA model to the semi-linear case. Numerical experiments on simulated datasets and a real astronomical application highlight the interest of this approach" @default.
- W4298209073 created "2022-10-01" @default.
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- W4298209073 date "2012-09-20" @default.
- W4298209073 modified "2023-09-27" @default.
- W4298209073 title "Probabilistic Auto-Associative Models and Semi-Linear PCA" @default.
- W4298209073 doi "https://doi.org/10.48550/arxiv.1209.4551" @default.
- W4298209073 hasPublicationYear "2012" @default.
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