Abstract. Learning to act in an unknown partially observable domain is a difficult variant of the reinforcement learning paradigm. Research in the area has focused on model-free m...
Skeleton is a lower dimensional shape description of an object. The requirements of a skeleton differ with applications. For example, object recognition requires skeletons with pr...
Recently Lillis, et al. presented an elegant dynamic programming approach to RC interconnect delay optimization through driver sizing, repeater insertion, and, wire sizing which e...
Abstract. Structure-oriented approaches in clone detection have become popular in both code-based and model-based clone detection. However, existing methods for capturing structura...
Hoan Anh Nguyen, Tung Thanh Nguyen, Nam H. Pham, J...
Abstract. We formulate the problem of least squares temporal difference learning (LSTD) in the framework of least squares SVM (LS-SVM). To cope with the large amount (and possible ...