Most research in learning for planning has concentrated on efficiency gains. Another important goal is improving the quality of final plans. Learning to improve plan quality has b...
Automatically discovering common visual patterns in images is very challenging due to the uncertainties in the visual appearances of such spatial patterns and the enormous computa...
Junsong Yuan, Zhu Li, Yun Fu, Ying Wu, Thomas S. H...
Abstract. This paper presents an efficient learning scheme for automatic annotation of video shot size. Instead of existing methods that applied in sports videos using domain knowl...
Meng Wang, Xian-Sheng Hua, Yan Song, Wei Lai, Li-R...
Energy efficient embedded systems consist of a heterogeneous collection of very specific building blocks, connected together by a complex network of many dedicated busses and inte...
Ingrid Verbauwhede, Patrick Schaumont, Christian P...
Collapsed Gibbs sampling is a frequently applied method to approximate intractable integrals in probabilistic generative models such as latent Dirichlet allocation. This sampling ...