13 search results - page 2 / 3 » Compressed sensing and Bayesian experimental design |
JMLR
2008
13 years 6 months ago
2008
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
ISPD
2010
ACM
14 years 1 months ago
2010
ACM
Thermal/power issues have become increasingly important with more and more transistors being put on a single chip. Many dynamic thermal/power management techniques have been propo...
TCSV
2008
13 years 6 months ago
2008
Recently, among various data hiding techniques, a new subset, lossless data hiding, has received increasing interest. Most of the existing lossless data hiding algorithms are, howe...
ICIP
2006
IEEE
14 years 7 months ago
2006
IEEE
Compressive Sensing is an emerging field based on the revelation that a small group of non-adaptive linear projections of a compressible signal contains enough information for rec...
ICASSP
2011
IEEE
12 years 10 months ago
2011
IEEE
Multistage residual vector quantizers (RVQ) with optimal direct sum decoder codebooks have been successfully designed and implemented for data compression. Due to its multistage s...