Multiple Kernel Learning (MKL) can be formulated as a convex-concave minmax optimization problem, whose saddle point corresponds to the optimal solution to MKL. Most MKL methods e...
Zenglin Xu, Rong Jin, Shenghuo Zhu, Michael R. Lyu...
This article investigates fundamental issues in scaling autonomous personal robots towards open-ended sets of everyday manipulation tasks which involve high complexity and vague j...
Abstract. In this paper, we propose a new definition and an exact algorithm for the discrete bisector function, which is an important tool for analyzing and filtering Euclidean s...
A region-based video segmentation algorithm, which is based on 8 x 8 block, is proposed to segment moving objects in a video sequence. The proposed video segmentation can be perfo...
Higher-order narrowing is a general method for higher-order equational reasoning and serves for instance as the foundation for the integration of functional and logic programming. ...