Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
The ‘graphicacy’ of student programmers was investigated using several cognitive tasks designed to assess ER knowledge representation at the perceptual, semantic and output lev...
Richard Cox, Pablo Romero, Benedict du Boulay, Rud...
In this paper, we propose the wireframe representation of nD object, which is a single 2D line drawing. A wireframe model of an nD object is composed of a set of edges connecting a...
Hongbo Li, Quan Wang, Lina Zhao, Ying Chen, Lei Hu...
Despite their potential applications in software comprehension, it appears that dynamic visualisation tools are seldom used outside the research laboratory. This paper presents an...
Collaborative filtering aims at learning predictive models of user preferences, interests or behavior from community data, i.e. a database of available user preferences. In this ...