Ranking algorithms, whose goal is to appropriately order a set of objects/documents, are an important component of information retrieval systems. Previous work on ranking algorith...
—This paper introduces kernel versions of maximum autocorrelation factor (MAF) analysis and minimum noise fraction (MNF) analysis. The kernel versions are based upon a dual formu...
This perspective paper explores principles of unsupervised learning and how they relate to face recognition. Dependency coding and information maximization appear to be central pr...
Abstract. Model-based development and automated code generation are increasingly used for actual production code, in particular in mathematical and engineering domains. However, si...
We put forth a framework for expressing security requirements from interactive protocols in the presence of arbitrary leakage. This allows capturing different levels of leakage to...