We investigated the retrieval specificity of retrieval-induced forgetting (RIF) of motor sequences. In two experiments, participants learned sequential finger movements, each consisting of the movement of two fingers of either the left or the right hand. In the learning phase, these motor sequences were graphically presented and were to be learned as responses to simultaneously presented letter...

We develop an efficient and conceptually simple algorithm for minimizing the sum of the rank-function of a graph G = (V,E) and of a linear function on E. We call such set-functions “graphic submodular”. The algorithm we present for graphic submodular function minimization is a greedy algorithm consisting of |V | − 1 steps, where the steps require the solution of a network flow problem on subgra...

Building upon the existing literature, we are suggesting to regard the building blocks of all graphics as falling into three main categories: a) the graphic objects that are shown (e.g., a dot, a pictogram, an arrow), b) the meaningful graphic spaces into which these objects are arranged (e.g., a geographic coordinate system, a timeline), and c) the graphic properties of these objects (e.g., th...

Based on the arrangement of historical data source and artistic value graphic elements in traditional Chinese culture, article uses comparative research methods to analyze art form originating from civilization according chronicle. For façade, classification method elements, main features are sorted out, pattern characteristics, scene meaning development mainly deduced. From perspective semioti...

In this paper, we propose a method for generating graphic objects having realistic shadows inserted into video sequence for the enhanced augmented reality. Out purpose is to extend the work of [I], which is applicable to the case of a static camera. to video sequence. However, in case of video, there are a few challenging problen~s, including the camera calibration problem over video sequence. ...

In this paper, we have developed a gene–gene relation browser (DiGG) that integrates sequential pattern-mining and informationextraction model to extract from biomedical literature knowledge on gene–gene interactions. DiGG combines efficient mining technique to enable the discovery of frequent gene–gene sequences even for very long sentences. Our approach aims to detect associated gene relation...