The k-means algorithm is a well-known method for partitioning n points that lie in the d-dimensional space into k clusters. Its main features are simplicity and speed in practice....
We demonstrate how the scale axis transform can be used to compute a parameterized family of shape skeletons. The skeletons gradually represent only the most important features of...
Joachim Giesen, Balint Miklos, Mark Pauly, Camille...
While existing studies on YouTube’s massive user-generated video content have mostly focused on the analysis of videos, their characteristics, and network properties, little att...
This study investigates the pros and cons of flocking in longrange “migration” of mobile robot swarms under the influence of different factors. We present a flocking behav...
This paper presents an overview of our framework for searching and retrieving facts and relationships within natural language text sources. In this framework, an extraction task o...