We present an approach to inductive concept learning using multiple models for time series. Our objective is to improve the efficiency and accuracy of concept learning by decomposi...
In this paper, we propose a robust incremental learning framework for accurate skin region segmentation in real-life images. The proposed framework is able to automatically learn ...
We present generative models dedicated to face recognition. Our models consider data extracted from color face images and use Bayesian Networks to model relationships between diffe...
UML is now widely accepted as the standard modeling language for software construction. The Class Diagram is its core view, having well formed semantics and providing the backbone...
Finding an efficient configuration for cluster-based multi-tier Internet services is often a difficult task. Moreover, even a good configuration could become obsolete, depending o...