455 search results - page 6 / 91 » Adaptive Sampling for Noisy Problems |
DIS
2004
Springer
14 years 26 days ago
2004
Springer
The two main challenges typically associated with mining data streams are concept drift and data contamination. To address these challenges, we seek learning techniques and models ...
TSP
2008
13 years 7 months ago
2008
The detection and estimation of signals in noisy, limited data is a problem of interest to many scientific and engineering communities. We present a mathematically justifiable, com...
ICASSP
2008
IEEE
14 years 1 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 ...
UAI
2000
13 years 8 months ago
2000
Sampling is an important tool for estimating large, complex sums and integrals over highdimensional spaces. For instance, importance sampling has been used as an alternative to ex...
CORR
2008
Springer
13 years 7 months ago
2008
Springer
Compressive sampling offers a new paradigm for acquiring signals that are compressible with respect to an orthonormal basis. The major algorithmic challenge in compressive sampling...