Moreoverkappr K, is squared FrkapproximationA, i.e., min Examining 3, left), it sharperpeakk, whereas resultsinthe1.

Finally, we extend LESS embeddings to include uniformly sparsified random sign matrices which canbeimplemented efficiently andwhich perform wellinnumericalexperiments.

Finally, we extend LESS embeddings to include uniformly sparsified random sign matrices which canbeimplemented efficiently andwhich perform wellinnumericalexperiments.

Surprisingly we show that volume sampling can have poor behavior when we require a very accurate approximation - indeed worse than some i.i.d.

Matrix sketching is a powerful tool for reducing the size of large data matrices.