In this paper, we present a novel technique to automatically generate optimum classification cascades. Given a powerful classifier SF with satisfactory accuracy and a set of N cla...
Ezzat Ali El-Sherif, Sherif Abdelazeem, M. Fathy A...
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
— The paper aims at designing a scheme for automatic identification of a species from its genome sequence. A set of 64 three-tuple keywords is first generated using the four type...