Efficient Dimensionality Reduction for Canonical Correlation Analysis
... is a fast algorithm to compute an approximate CCA. The algorithm computes an approximation to all the canonical correlations. It also computes a set of approximate canonical weights with provable guarantees. We show that the proposed algorithm is often asymptotically faster compared to the standard ...
... is a fast algorithm to compute an approximate CCA. The algorithm computes an approximation to all the canonical correlations. It also computes a set of approximate canonical weights with provable guarantees. We show that the proposed algorithm is often asymptotically faster compared to the standard ...
Lecture 34
... dielectric medium, such as in air or vacuum. In this lecture, we woulddiscuss what happens when a plane electromagnetic wave is incident at the interface between two dielectric media. For being specific, we will take one of the medium to be air or vacuum and the other to be a dielectric such as glas ...
... dielectric medium, such as in air or vacuum. In this lecture, we woulddiscuss what happens when a plane electromagnetic wave is incident at the interface between two dielectric media. For being specific, we will take one of the medium to be air or vacuum and the other to be a dielectric such as glas ...
Instance-optimality in Probability with an ` -Minimization Decoder 1
... the origin of radius c log(N/n)/ n. Unfortunately, this geometric property does not hold for all classical random constructions. For example, if the matrix Φ(ω) has its entries given by independent draws of ...
... the origin of radius c log(N/n)/ n. Unfortunately, this geometric property does not hold for all classical random constructions. For example, if the matrix Φ(ω) has its entries given by independent draws of ...
