555 search results - page 40 / 111 » Bayesian Compressive Sensing |
FGCN
2008
IEEE
14 years 2 months ago
2008
IEEE
Word sense disambiguation has always been a key problem in Natural Language Processing. In the paper, we use the method of Information Gain to calculate the weight of different po...
NIPS
2004
13 years 9 months ago
2004
We present a competitive analysis of Bayesian learning algorithms in the online learning setting and show that many simple Bayesian algorithms (such as Gaussian linear regression ...
SSIAI
2002
IEEE
14 years 17 days ago
2002
IEEE
We present results quantifying the exploitability of compressed remote sensing imagery. The performance of various feature extraction and classification tasks is measured on hype...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
In the theory of compressed sensing, restricted isometry analysis has become a standard tool for studying how efficiently a measurement matrix acquires information about sparse an...
ICASSP
2008
IEEE
14 years 2 months ago
2008
IEEE
The theory of compressed sensing shows that samples in the form of random projections are optimal for recovering sparse signals in high-dimensional spaces (i.e., finding needles ...