59 search results - page 2 / 12 » Robust regression using sparse learning for high dimensional... |
ICML
2006
IEEE
14 years 6 months ago
2006
IEEE
This paper examines high dimensional regression with noise-contaminated input and output data. Goals of such learning problems include optimal prediction with noiseless query poin...
NIPS
2008
13 years 6 months ago
2008
Covariance estimation for high dimensional vectors is a classically difficult problem in statistical analysis and machine learning. In this paper, we propose a maximum likelihood ...
CVPR
2007
IEEE
14 years 7 months ago
2007
IEEE
We address the problem of estimating human pose in video sequences, where rough location has been determined. We exploit both appearance and motion information by defining suitabl...
ECCV
2000
Springer
14 years 7 months ago
2000
Springer
This paper considers a fundamental problem in visual motion perception, namely the problem of egomotion estimation based on visual input. Many of the existing techniques for solvin...
ICASSP
2010
IEEE
13 years 5 months ago
2010
IEEE
Frequency hopping (FH) signals have well-documented merits for commercial and military applications due to their near-far resistance and robustness to jamming. Estimating FH signa...