70 search results - page 3 / 14 » Learning Fourier Sparse Set Functions |
NIPS
2007
15 years 2 months ago
2007
It has been shown that adapting a dictionary of basis functions to the statistics of natural images so as to maximize sparsity in the coefficients results in a set of dictionary ...
111
Voted
CVPR
2010
IEEE
15 years 9 months ago
2010
IEEE
A central problem in the analysis of motion capture (Mo-
Cap) data is how to decompose motion sequences into primitives.
Ideally, a description in terms of primitives should
fac...
93
Voted
CORR
2007
Springer
15 years 1 months ago
2007
Springer
—This paper studies the ergodic capacity of time- and frequency-selective multipath fading channels in the ultrawideband (UWB) regime when training signals are used for channel e...
111
Voted
TMI
2008
15 years 18 days ago
2008
A method is presented for the analysis of dynamic positron emission tomography (PET) data using sparse Bayesian learning. Parameters are estimated in a compartmental framework usin...
117
Voted
ICML
2009
IEEE
16 years 1 months ago
2009
IEEE
We propose a new penalty function which, when used as regularization for empirical risk minimization procedures, leads to sparse estimators. The support of the sparse vector is ty...