In this article, we exploit Semi-Supervised Learning ( SSL ) to increase the amount of training data improve performance Fine-Grained Visual Categorization FGVC ). This problem has not been investigated in past spite prohibitive annotation costs that requires. Our approach leverages unlabeled with an adversarial optimization strategy which internal features representation is obtained a second-o...

Dynamic Aspect Oriented Programming (AOP) technologies typically provide coarse-grained mechanisms for adapting aspects that cross-cut a system deployment; i.e. whole aspect modules can be added and removed at runtime. However, in this paper we demonstrate that adaptation of the finer-grained elements of individual aspect modules is required in highly dynamic systems and applications. We presen...