1347 search results - page 20 / 270 » Feature Selection Algorithms: A Survey and Experimental Eval... |
TKDE
2010
13 years 6 months ago
2010
—A major assumption in many machine learning and data mining algorithms is that the training and future data must be in the same feature space and have the same distribution. How...
ALGORITHMICA
2006
13 years 8 months ago
2006
Classification is a key problem in machine learning/data mining. Algorithms for classification have the ability to predict the class of a new instance after having been trained on...
ADMA
2006
Springer
14 years 1 months ago
2006
Springer
Feature selection is an important data preprocessing step in data mining and pattern recognition. Many algorithms have been proposed in the past for simple patterns that can be cha...
ICMCS
2006
IEEE
14 years 1 months ago
2006
IEEE
To bridge the gap between high level semantic concepts and low level visual features in content-based image retrieval (CBIR), online feature selection is really required. An effec...
CVPR
2005
IEEE
14 years 10 months ago
2005
IEEE
The choice of a color space is of great importance for many computer vision algorithms (e.g. edge detection and object recognition). It induces the equivalence classes to the actu...