96 search results - page 9 / 20 » Regularization parameter trimming for iterative image recons... |
127
Voted
ICPR
2004
IEEE
16 years 5 months ago
2004
IEEE
We propose a novel energy minimisation framework for the dense reconstruction of stereo image sequences that incorporates data fidelity as well as spatial and temporal regularity....
157
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JMLR
2010
14 years 11 months ago
2010
We use convex relaxation techniques to provide a sequence of regularized low-rank solutions for large-scale matrix completion problems. Using the nuclear norm as a regularizer, we...
134
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ICIP
2010
IEEE
15 years 2 months ago
2010
IEEE
Discovering local geometry of low-dimensional manifold embedded into a high-dimensional space has been widely studied in the literature of machine learning. Counter-intuitively, w...
162
Voted
ICIP
2007
IEEE
16 years 6 months ago
2007
IEEE
We introduce a new approach to image reconstruction from highly incomplete data. The available data are assumed to be a small collection of spectral coef?cients of an arbitrary li...
150
Voted
ICASSP
2011
IEEE
14 years 8 months ago
2011
IEEE
Accurate image registration plays a preponderant role in image super-resolution methods and in the related literature landmarkbased registration methods have gained increasing acc...