124 search results - page 8 / 25 » Dimension Is Compression |
STOC
2007
ACM
14 years 7 months ago
2007
ACM
Compressed Sensing is a new paradigm for acquiring the compressible signals that arise in many applications. These signals can be approximated using an amount of information much ...
ICIP
2010
IEEE
13 years 5 months ago
2010
IEEE
We propose a novel compression method for multiview still images. The algorithm exploits the layer-based representation, which partitions the data set into planar layers character...
CORR
2011
Springer
12 years 11 months ago
2011
Springer
The literature on compressed sensing has focused almost entirely on settings where the signal is noiseless and the measurements are contaminated by noise. In practice, however, th...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
The Restricted Isometry Property (RIP) is an important concept in compressed sensing. It is well known that many random matrices satisfy the RIP with high probability, whenever th...
TSP
2010
13 years 2 months ago
2010
Nonparametric Bayesian methods are employed to constitute a mixture of low-rank Gaussians, for data x RN that are of high dimension N but are constrained to reside in a low-dimen...