555 search results - page 49 / 111 » Bayesian Compressive Sensing |
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
What type of algorithms and statistical techniques support learning from very large datasets over long stretches of time? We address this question through a memory bounded version...
EUROSSC
2007
Springer
14 years 1 months ago
2007
Springer
This paper addresses the design of a large area, high resolution, networked pressure sensing floor with primary application in movement-based human-computer interaction (M-HCI). T...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
The knowledge of channel statistics can be very helpful in making sound opportunistic spectrum access decisions. It is therefore desirable to be able to efficiently and accurately...
ECCV
2010
Springer
14 years 26 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...
TIP
2008
13 years 7 months ago
2008
Abstract--Hyperspectral images present some specific characteristics that should be used by an efficient compression system. In compression, wavelets have shown a good adaptability...