69 search results - page 12 / 14 » A Theory for Sampling Signals From a Union of Subspaces |
ECCV
2008
Springer
14 years 9 months ago
2008
Springer
Abstract. Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reco...
SIGECOM
2010
ACM
14 years 14 days ago
2010
ACM
Motivated by the allocation problem facing publishers in display advertising we formulate the online assignment with forecast problem, a version of the online allocation problem w...
ICIP
2007
IEEE
14 years 1 months ago
2007
IEEE
The problem of image super-resolution from a set of low resolution multiview images has recently received much attention and can be decomposed, at least conceptually, into two con...
ECCV
2010
Springer
14 years 25 days ago
2010
Springer
Abstract. Compressive sensing (CS) is a new approach for the acquisition and recovery of sparse signals and images that enables sampling rates significantly below the classical Ny...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
Algorithms such as Least Median of Squares (LMedS) and Random Sample Consensus (RANSAC) have been very successful for low-dimensional robust regression problems. However, the comb...