4366 search results - page 8 / 874 » Learning and Smoothed Analysis |
163
Voted
ALT
2002
Springer
16 years 18 days ago
2002
Springer
We describe a new boosting algorithm that is the first such algorithm to be both smooth and adaptive. These two features make possible performance improvements for many learning ...
142
Voted
ICRA
2008
IEEE
15 years 10 months ago
2008
IEEE
— Learning parameters of a motion model is an important challenge for autonomous robots. We address the particular instance of parameter learning when tracking motions with a swi...
134
Voted
CVPR
2004
IEEE
16 years 5 months ago
2004
IEEE
We propose methods for outlier handling and noise reduction using weighted local linear smoothing for a set of noisy points sampled from a nonlinear manifold. The methods can be u...
147
Voted
GRC
2008
IEEE
15 years 4 months ago
2008
IEEE
Manifold learning can discover the structure of high dimensional data and provides understanding of multidimensional patterns by preserving the local geometric characteristics. Ho...
163
Voted
CORR
2012
Springer
13 years 11 months ago
2012
Springer
We study the problem of learning high dimensional regression models regularized by a structured-sparsity-inducing penalty that encodes prior structural information on either input...