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» Estimation in covariate-adjusted regression
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ICML
2005
IEEE
14 years 11 months ago
Heteroscedastic Gaussian process regression
This paper presents an algorithm to estimate simultaneously both mean and variance of a non parametric regression problem. The key point is that we are able to estimate variance l...
Alexander J. Smola, Quoc V. Le, Stéphane Ca...
JEI
2010
123views more  JEI 2010»
13 years 5 months ago
Estimating reflectance from multispectral camera responses based on partial least-squares regression
Abstract. In multispectral imaging systems, the accuracy of reflectance estimation can be degraded by the nonlinearity in imaging process, which is due to non-Gaussian distribution...
Hui-Liang Shen, Hui-Jiang Wan, Zhe-Chao Zhang
ICPR
2008
IEEE
14 years 5 months ago
Adaptive nonstationary regression analysis
The problem of finding the most appropriate subset of features or regressors is the generic challenge of Machine Learning problems like regression estimation or pattern recognitio...
Olga Krasotkina, Vadim Mottl
WACV
2008
IEEE
14 years 5 months ago
Locally Adjusted Robust Regression for Human Age Estimation
Automatic human age estimation has considerable potential applications in human computer interaction and multimedia communication. However, the age estimation problem is challengi...
Guodong Guo, Yun Fu, Thomas S. Huang, Charles R. D...
JMLR
2012
12 years 1 months ago
Robust Multi-task Regression with Grossly Corrupted Observations
We consider the multiple-response regression problem, where the response is subject to sparse gross errors, in the high-dimensional setup. We propose a tractable regularized M-est...
Huan Xu, Chenlei Leng