Recent work on unsupervised feature learning has shown that learning on polynomial expansions of input patches, such as on pair-wise products of pixel intensities, can improve the...
PVS is a highly automated framework for speci cation and veri cation. We show how the language and deduction features of PVS can be used to formalize, mechanize, and apply some us...
Abstract. Managing access control policies in modern computer systems can be challenging and error-prone. Combining multiple disparate access policies can introduce unintended cons...
Bidirectional model transformation plays an important role in maintaining consistency between two models, and has many potential applications in software development, including mo...
Today, model-driven development is getting more sophisticated and can be used for modeling enterprises and developing application systems. Since current interoperability solutions ...