901 search results - page 14 / 181 » Feature versus model based noise robustness |
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
When constructing a classifier from labeled data, it is important not to assign too much weight to any single input feature, in order to increase the robustness of the classifier....
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
Many approaches to object recognition are founded on probability theory, and can be broadly characterized as either generative or discriminative according to whether or not the di...
TVCG
2010
13 years 6 months ago
2010
—In this paper, we introduce a feature-preserving denoising algorithm. It is built on the premise that the underlying surface of a noisy mesh is piecewise smooth, and a sharp fea...
KI
1997
Springer
13 years 11 months ago
1997
Springer
One of the fundamental problems in the eld of mobile robotics is the estimation of the robot's position in the environment. Position probability grids have been proven to be a...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
For the task of detecting shouted speech in a noisy environment, this paper introduces a system based on mel frequency cepstral coefficient (MFCC) feature extraction, unsupervise...