60 search results - page 3 / 12 » Learning a Maximum Margin Subspace for Image Retrieval |
ICMCS
2006
IEEE
14 years 5 days ago
2006
IEEE
Image retrieval has been widely used in many fields of science and engineering. The semantic concept of user interest is obtained by a learning process. Traditional techniques oft...
ICPR
2008
IEEE
14 years 17 days ago
2008
IEEE
In this paper, a novel subspace learning method, semi-supervised marginal discriminant analysis (SMDA), is proposed for classification. SMDA aims at maintaining the intrinsic neig...
ADMA
2006
Springer
14 years 4 days ago
2006
Springer
The automatic annotation of images presents a particularly complex problem for machine learning researchers. In this work we experiment with semantic models and multi-class learnin...
DAGM
2011
Springer
12 years 6 months ago
2011
Springer
Conditional Random Fields (CRFs) are popular models in computer vision for solving labeling problems such as image denoising. This paper tackles the rarely addressed but important ...
CIMCA
2005
IEEE
13 years 11 months ago
2005
IEEE
We give a fast and practical algorithm for statistical learning hyperparameters from observable data in probabilistic image processing, which is based on Gaussian graphical model ...