65 search results - page 3 / 13 » Multi-Dimensional Representations - How Many Dimensions |
143
click to vote
IDEAL
2010
Springer
15 years 1 months ago
2010
Springer
Dimension reduction for regression (DRR) deals with the problem of finding for high-dimensional data such low-dimensional representations, which preserve the ability to predict a ...
154
click to vote
APVIS
2007
15 years 4 months ago
2007
Direct volume rendering of large volumetric data sets on programmable graphics hardware is often limited by the amount of available graphics memory and the bandwidth from main mem...
COLT
2008
Springer
15 years 5 months ago
2008
Springer
A kernel over the Boolean domain is said to be reflection-invariant, if its value does not change when we flip the same bit in both arguments. (Many popular kernels have this prop...
122
click to vote
SIAMJO
2010
14 years 10 months ago
2010
The sensor network localization, SNL , problem in embedding dimension r, consists of locating the positions of wireless sensors, given only the distances between sensors that are ...
145
click to vote
SDM
2007
SIAM
15 years 4 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...