Abstract. Many real world problems are given in the form of multiple measurements comprising local descriptions or tasks. We propose that a dynamical organization of a population o...
With continued reductions in feature size, additional functionality may be added to future microprocessors to boost the performance of important application domains. Due to growth...
In this paper we describe AntHocNet, an algorithm for routing in mobile ad hoc networks based on ideas from the Nature-inspired Ant Colony Optimization framework. The algorithm co...
Frederick Ducatelle, Gianni Di Caro, Luca Maria Ga...
We show that the class of strongly connected graphical models with treewidth at most k can be properly efficiently PAC-learnt with respect to the Kullback-Leibler Divergence. Prev...
Conventional subspace learning or recent feature extraction methods consider globality as the key criterion to design discriminative algorithms for image classification. We demonst...
Yun Fu, Zhu Li, Junsong Yuan, Ying Wu, Thomas S. H...