Many geographical applications deal with spatial objects that cannot be adequately described by determinate, crisp concepts because of their intrinsically indeterminate and vague ...
With the proliferation of various kinds of sensor networks, we will see large amounts of heterogeneous data. They have different characteristics such as data content, formats, mod...
Eric Bouillet, Mark Feblowitz, Zhen Liu, Anand Ran...
The intent of peer data management systems (PDMS) is to share as much data as possible. However, in many applications leveraging sensitive data, users demand adequate mechanisms to...
We describe how to create with machine learning techniques a generative, videorealistic, speech animation module. A human subject is first recorded using a videocamera as he/she u...
Pattern mining algorithms are often much easier applied than quantitatively assessed. In this paper we address the pattern evaluation problem by looking at both the capability of ...