• Aucun résultat trouvé

Convex Total Least Squares

N/A
N/A
Protected

Academic year: 2021

Partager "Convex Total Least Squares"

Copied!
10
0
0

Texte intégral

Loading

Figure

Figure 1. RW-NN for plain TLS: (a) relative error in Frobenius norm for NN and full RW-NN (avg
Figure 2. Relative error in Frobenius norm for NN and RW-NN (avg. over 100 trials). The SVD solution is infeasible, providing a lower bound 1 on the error
Figure 3. Comparison of convex STLS (RW-NN) with non- non-convex SLRA and SVD on problems with large outliers

Références

Documents relatifs

Recently, we used this standard least squares approximation approach to extend the notion of interaction index for classes of functions dened on the unit hyper-... However, when we

Another application of Bernstein inequalities for model subspaces K Θ p is considered in [7]; it is connected with stability of Riesz bases and frames of reproducing kernels (k λ Θ n

Graphs, discrete Laplacian, Riesz transforms, square functions, Mucken- houpt weights, spaces of homogeneous type.. The second author was supported by MICINN Grant MTM2010-16518, and

When the indirect coupling between f-electrons on differrent sites is not strong enough to yield the ordering of electronic spins, the ordering of nuclear spins takes

If Oracle1 and Oracle2 cannot be used in practice (because they are based on unknown information on the actual sources), it is noteworthy that REST-like solutions (either based on

Finally, while these compliance measures are designed to make sense with respect to known results in the area of sparse recovery, one might design other compliance measures tailored

In order to satisfy criterion (4), in NIPALS, PLS-R and new Mode A PLS-PM, when work- ing on standardized variables, optimal weights are calculated as Pearson’s

We can ask the question: if truth is a norm of belief or of assertion, and if saying or believing something true involves something ‘normative’, does it involve a norm of the first