Non-linear canonical correlation

By E. V. D. Burg, Jan de Leeuw. 1983

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Veeranjaneyulu Sadhanala
2. Allan Aasbjerg Nielsen
3. Lorenzo Bruzzone
4. Francesca Bovolo
5. Chen Wu
6. Hongruixuan Chen
7. Bo Du
8. Morton John Canty

Citations in the corpus

• Additive models with trend filtering (2017, methodology): “1 in Wainwright [2017] would then give the result. In what follows, we will use c > 0 to denote a constant whole value may change from line to line (but does not depend on z, i = 1, . . . , n). Consider the empirical local Rademacher complexity Rn ( F ∩B2(t) ) = Eσ [ sup g∈F∩B2(t) 1 n ∣∣∣∣ n ∑ i=1 σ”
• Multiset canonical correlations analysis and multispectral, truly multitemporal remote sensing data (2002, background): “Work on nonlinear canonical correlations analysis is dealt with in [7]–[11].”