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...
In this paper, we propose a new algorithm to boost performance of traditional Linear Discriminant Analysis (LDA)-based face recognition (FR) methods in complex FR tasks, where hig...
Juwei Lu, Konstantinos N. Plataniotis, Anastasios ...
Mobile devices often store data in reduced resolutions or custom formats in order to accommodate resource constraints and tailormade software. The Polyjuz framework enables sharin...
Commitments provide a basis for understanding interactions in multiagent systems. Successful interoperation relies upon the interacting parties being aligned with respect to their...
—Structured Peer-to-Peer (P2P) systems are highly scalable, self-organizing, and support efficient lookups. Furthermore, Distributed Hash Tables (DHTs), due to their features, a...