Compact Signatures for High- speed Interest Point Description and Matching Calonder, Lepetit, Fua, Konolige, Bowman, Mihelich (as rendered by Lord)
Flexible and efficient Gaussian process models for machine ...
1108.1170
Sparsity and Compressed Sensing
Signal Processing Course : Sparse Regularization of Inverse Problems
Low Complexity Regularization of Inverse Problems - Course #1 Inverse Problems
Survey Cs
Ffst
2015-16 software project list
Differentiable Sparse Coding David Bradley and J. Andrew Bagnell NIPS 2008 1.
Compressed Sensing in MIMO Radar Chun-Yang Chen and P. P. Vaidyanathan California Institute of Technology Electrical Engineering/DSP Lab Asilomar 2008.
Richard Baraniuk Rice University Model-based Sparsity.
