: This paper reports on preliminary results of an explorative study of a protocol analysis of team learning while designing using in-situ data. Two measurement-based frameworks are...
: In this paper we describe an approach that enables the detection, tracking and fine analysis (classification of gender and facial expression) of faces using a single web camera. ...
Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...
Nowadays, data mining is based on low-level speci cations of the employed techniques typically bounded to a speci c analysis platform. Therefore, data mining lacks a modelling arc...
This paper considers the problems of feature variation and concept uncertainty in typical learning-based video semantic classification schemes. We proposed a new online semantic c...