955 search results - page 191 / 191 » Component-Based Adaptive Sampling |
MICCAI
2010
Springer
13 years 4 months ago
2010
Springer
The use of machine learning tools is gaining popularity in neuroimaging, as it provides a sensitive assessment of the information conveyed by brain images. In particular, finding ...
FOCS
2010
IEEE
13 years 4 months ago
2010
IEEE
Boosting is a general method for improving the accuracy of learning algorithms. We use boosting to construct improved privacy-preserving synopses of an input database. These are da...
BMCBI
2011
13 years 1 months ago
2011
Background: When investigating covariate interactions and group associations with standard regression analyses, the relationship between the response variable and exposure may be ...
TWC
2010
13 years 28 days ago
2010
We proposed compressive data gathering (CDG) that leverages compressive sampling (CS) principle to efficiently reduce communication cost and prolong network lifetime for large scal...
ICASSP
2011
IEEE
12 years 10 months ago
2011
IEEE
Compressive sensing accurately reconstructs a signal that is sparse in some basis from measurements, generally consisting of the signal’s inner products with Gaussian random vec...