'Sparse solutions' presentation slideshows

Parallel and Distributed Computing

631 views • 50 slides

Sparse Representation and Compressed Sensing: Theory and Algorithms

Sparse Representation and Compressed Sensing: Theory and Algorithms. Yi Ma 1,2 Allen Yang 3 John Wright 1. 2 University of Illinois at Urbana-Champaign. 3 University of California Berkeley. 1 Microsoft Research Asia. CVPR Tutorial, June 20, 2009. TexPoint fonts used in EMF.

1.06k views • 49 slides

Alfredo Nava-Tudela John J. Benedetto, advisor

396 views • 29 slides

Sparse Signal Reconstruction Using FOCUSS

694 views • 17 slides

Negative Results and Open Problems

NIPS 2002 workshops. Negative Results and Open Problems. Isabelle Guyon Clopinet. Why?. Negative results are seldom reported. A wealth of knowledge is lost. Negative results are sometimes more informative that positive results. Negative results sometimes point to important open problems.

219 views • 9 slides