Transfer learning can be described as the tion of abstract knowledge from one learning domain or task and the reuse of that knowledge in a related domain or task. In categorizatio...
Kevin R. Canini, Mikhail M. Shashkov, Thomas L. Gr...
Abstract. This paper presents a new classification algorithm for realtime inference of emotions from the non-verbal features of speech. It identifies simultaneously occurring emoti...
Abstract. Shape classification using graphs and skeletons usually involves edition processes in order to reduce the influence of structural noise. However, edition distances can no...
In a computer network that consists of M subnetworks, the L-bit address of a machine consists of two parts: A pre x si that contains the address of the subnetwork to which the mac...
em is a computing model, which abstracts from the way the living cells process chemical compounds in their compartmental structure. The regions defined by a membrane structure con...