178 search results - page 3 / 36 » A Simple Algorithm for Nuclear Norm Regularized Problems |
NIPS
2004
13 years 7 months ago
2004
The problem of learning a sparse conic combination of kernel functions or kernel matrices for classification or regression can be achieved via the regularization by a block 1-norm...
SIAMJO
2010
13 years 15 days ago
2010
We consider a recently proposed optimization formulation of multi-task learning based on trace norm regularized least squares. While this problem may be formulated as a semidefini...
ICIP
2010
IEEE
2010
IEEE
Restoration of images and 3D data to higher resolution by deconvolution with sparsity regularization
13 years 3 months ago
Image convolution is conventionally approximated by the LTI discrete model. It is well recognized that the higher the sampling rate, the better is the approximation. However somet...
ICASSP
2010
IEEE
13 years 4 months ago
2010
IEEE
This paper deals with the reconstruction of T1-T2 correlation spectra in Nuclear Magnetic Resonance (NMR) spectroscopy. The ill-posed character of this inverse problem and its lar...
FOCM
2011
13 years 22 days ago
2011
The matrix rank minimization problem has applications in many fields such as system identification, optimal control, low-dimensional embedding etc. As this problem is NP-hard in ...