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Found 2 papers, 2 papers with code
Latent-space disentanglement with untrained generator networks for the isolation of different motion types in video data
Isolating different types of motion in video data is a highly relevant problem in video analysis.
Adaptive Regularization Parameter Choice Rules for Large-Scale Problems
This paper derives a new class of adaptive regularization parameter choice strategies that can be effectively and efficiently applied when regularizing large-scale linear inverse problems by combining standard Tikhonov regularization and projection onto Krylov subspaces of increasing dimension (computed by the Golub-Kahan bidiagonalization algorithm).
Numerical Analysis Numerical Analysis
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