Clustering time-series data poses problems, which do not exist in traditional clustering in Euclidean space. Specifically, cluster prototype needs to be calculated, where common s...
Traditional clustering algorithms work on "flat" data, making the assumption that the data instances can only be represented by a set of homogeneous and uniform features...
Levent Bolelli, Seyda Ertekin, Ding Zhou, C. Lee G...
Although a lot of effort already went into the development of 3D acquisition technology, and existing methods come of age, several challenges remain. We try to give a – probably...
Spring embedding is widely used to draw up networks. However, the readability of network diagrams drawn by using spring embedding is still not good enough. This paper proposes the ...
This paper presents an overview of recent systems for Inductive Logic Programming (ILP). After a short description of the two popular ILP systems FOIL and Progol, we focus on meth...