300 search results - page 25 / 60 » A genetic algorithm-based method for feature subset selectio... |
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
We compute a common feature selection or kernel selection configuration for multiple support vector machines (SVMs) trained on different yet inter-related datasets. The method is ...
65
Voted
MVA
1996
14 years 11 months ago
1996
A method for inductivelearningof primitive features is proposed. Primitive features are well investigated and they are extracted in bottom-up manner fiom training set of patterns ...
JMLR
2010
14 years 4 months ago
2010
L1 (also referred to as the 1-norm or Lasso) penalty based formulations have been shown to be effective in problem domains when noisy features are present. However, the L1 penalty...
PAMI
2007
14 years 9 months ago
2007
—The choice of a color model is of great importance for many computer vision algorithms (e.g., feature detection, object recognition, and tracking) as the chosen color model indu...
HAIS
2009
Springer
15 years 2 months ago
2009
Springer
Developing models and methods to manage data vagueness is a current effervescent research field. Some work has been done with supervised problems but unsupervised problems and unce...