The support vector machine has been successful in a variety of applications. Also on the theoretical front, statistical properties of the support vector machine have been studied ...
Ja-Yong Koo, Yoonkyung Lee, Yuwon Kim, Changyi Par...
We discuss incremental training of support vector machines in which we approximate the regions, where support vector candidates exist, by truncated hypercones. We generate the trun...
In this paper, a novel method for reducing the runtime complexity of a support vector machine classifier is presented. The new training algorithm is fast and simple. This is achiev...
This paper presents a novel automatic speaker age and gender identification approach which combines five different methods at the acoustic level to improve the baseline performanc...
We present an efficient feature selection algorithm for computer aided detection (CAD) computed tomographic (CT) colonography. The algorithm 1) determines an appropriate piecewise...
Jiang Li, Jianhua Yao, Ronald M. Summers, Nicholas...