Context-bounded analysis is an attractive approach to verification of concurrent programs. Bounding the number of contexts executed per thread not only reduces the asymptotic compl...
Shuvendu K. Lahiri, Shaz Qadeer, Zvonimir Rakamari...
Probabilistic frequent itemset mining in uncertain transaction databases semantically and computationally differs from traditional techniques applied to standard "certain&quo...
Abstract--"Secure Device Pairing" is the process of bootstrapping a secure channel between two previously unassociated devices over a (usually wireless) human-imperceptib...
Arun Kumar, Nitesh Saxena, Gene Tsudik, Ersin Uzun
Instance selection and feature selection are two orthogonal methods for reducing the amount and complexity of data. Feature selection aims at the reduction of redundant features i...
This paper presents a context-aware mobile recommender system, codenamed Magitti. Magitti is unique in that it infers user activity from context and patterns of user behavior and,...
Victoria Bellotti, James Bo Begole, Ed Huai-hsin C...