Background: Recursive Feature Elimination is a common and well-studied method for reducing the number of attributes used for further analysis or development of prediction models. ...
The growing speed gap between memory and processor makes an efficient use of the cache ever more important to reach high performance. One of the most important ways to improve cac...
Decision trees have been widely used for online learning classification. Many approaches usually need large data stream to finish decision trees induction, as show notable limitat...
Automatic image categorization using low-level features is a challenging research topic in computer vision. In this paper, we formulate the image categorization problem as a multi...
We propose a method of efficient face description for facial image retrieval from a large data set. The novel descriptor is obtained by decomposing the face image into several com...
Tae-Kyun Kim, Hyunwoo Kim, Wonjun Hwang, Seok-Cheo...