52 search results - page 5 / 11 » Sharp Separation and Applications to Exact and Parameterized... |
GECCO
2007
Springer
13 years 9 months ago
2007
Springer
Frequently in the physical sciences experimental data are analyzed to determine model parameters using techniques known as parameter estimation. Eliminating the effects of noise ...
CISS
2010
IEEE
12 years 11 months ago
2010
IEEE
—This paper considers the reconstruction of structured-sparse signals from noisy linear observations. In particular, the support of the signal coefficients is parameterized by h...
SIGMOD
2001
ACM
14 years 7 months ago
2001
ACM
Caching approximate values instead of exact values presents an opportunity for performance gains in exchange for decreased precision. To maximize the performance improvement, cach...
ICIP
2007
IEEE
14 years 1 months ago
2007
IEEE
This paper develops a classification algorithm in the framework of spectral graph theory where the underlying manifold of a high dimensional data set is described by a graph. The...
SDM
2007
SIAM
13 years 9 months ago
2007
SIAM
Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...