55 search results - page 8 / 11 » Linear Regression With Gaussian Model Uncertainty: Algorithm... |
FCSC
2007
13 years 7 months ago
2007
1 The techniques for image analysis and classi cation generally consider the image sample labels xed and without uncertainties. The rank regression problem is studied in this pape...
ICIP
2005
IEEE
14 years 9 months ago
2005
IEEE
A variational Bayesian framework is employed in the paper for image segmentation using color clustering. A Gaussian mixture model is used to represent color distributions. Variati...
JMLR
2010
13 years 5 months ago
2010
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and differen...
PODC
2009
ACM
14 years 8 months ago
2009
ACM
d Abstract] Christoph Lenzen Computer Engineering and Networks Laboratory (TIK) ETH Zurich, 8092 Zurich, Switzerland lenzen@tik.ee.ethz.ch Thomas Locher Computer Engineering and N...
DATAMINE
2006
13 years 7 months ago
2006
Motivated by the poor performance (linear complexity) of the EM algorithm in clustering large data sets, and inspired by the successful accelerated versions of related algorithms l...