Software protection via obscurity is now considered fundamental for securing software systems. This paper proposes a framework for obfuscating the program interpretation instead o...
Akito Monden, Antoine Monsifrot, Clark D. Thombors...
- Thanks to the spread of mobile technologies, we can access to the network anytime and from anywhere. In the near future, we will enable to realize the ubiquitous computing enviro...
— Testing and verification are important methods for gaining confidence in the reliability of a software product. Keeping this confidence up is especially difficult for softw...
We propose a family of learning algorithms based on a new form of regularization that allows us to exploit the geometry of the marginal distribution. We focus on a semi-supervised...
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 ...