The problem of obtaining the maximum a posteriori (map) estimate of a discrete random field is of fundamental importance in many areas of Computer Science. In this work, we build ...
We propose a family of novel cost-sensitive boosting methods for multi-class classification by applying the theory of gradient boosting to p-norm based cost functionals. We establ...
In this paper we describe a flexible and efficient new algorithm for model order reduction of parameterized systems. The method is based on the reformulation of the parametric s...
Simulators are needed for testing algorithms of wireless sensor networks (WSNs) for large scale scenarios. Deploying real WSN testbed provides a more realistic testing environment...
Lei Shu, Chun Wu, Yan Zhang, Jiming Chen, Lei Wang...
— Legged robots have the potential to navigate a much larger variety of terrain than their wheeled counterparts. In this paper we present a hierarchical control architecture that...