922 search results - page 108 / 185 » Learning Gaussian Process Models from Uncertain Data |
225
Voted
ICDM
2006
IEEE
15 years 8 months ago
2006
IEEE
In spite of the initialization problem, the ExpectationMaximization (EM) algorithm is widely used for estimating the parameters in several data mining related tasks. Most popular ...
134
Voted
ICIP
2007
IEEE
16 years 4 months ago
2007
IEEE
Abstract - The proposed algorithm in this work provides superresolution for color images by using a learning based technique that utilizes both generative and discriminant approach...
92
Voted
UAI
1997
15 years 4 months ago
1997
It has been shown that a class of probabilistic domain models cannot be learned correctly by several existing algorithms which employ a single-link lookahead search. When a multil...
136
Voted
TEC
2010
14 years 9 months ago
2010
We propose a unified data modeling approach that is equally applicable to supervised regression and classification applications, as well as to unsupervised probability density func...
171
Voted
TCSV
2010
14 years 9 months ago
2010
Background subtraction (BS) is an efficient technique for detecting moving objects in video sequences. A simple BS process involves building a model of the background and extractin...