Most classification methods are based on the assumption that the data conforms to a stationary distribution. However, the real-world data is usually collected over certain periods...
In this paper, we describe Chrysant, a hypertext version control system for embedded link models. Chrysant provides generalpurpose versioning capability to hypertext systems with ...
Software artifacts usually have static program constraints and these constraints should be satisfied in each reuse. In addition to this, the developers are also required to satisf...
Classifier learning methods commonly assume that the training data consist of randomly drawn examples from the same distribution as the test examples about which the learned model...
Without any assumption on the cover source, this paper presents a complete characterization of all perfectly secure stego-systems that employ mutually independent embedding operat...