A robust SCQM model extending SQMF to accommodate generalized Gaussian and radial Laplace noise, solved via gradient descent with line search and validated through sensitivity analysis and experiments.
Quadratic matrix factor- ization with applications to manifold learning.IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(9):6384–6401, 2024
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Robust Subspace-Constrained Quadratic Models for Low-Dimensional Structure Learning
A robust SCQM model extending SQMF to accommodate generalized Gaussian and radial Laplace noise, solved via gradient descent with line search and validated through sensitivity analysis and experiments.