This paper presents the triple jump framework for accelerating the EM algorithm and other bound optimization methods. The idea is to extrapolate the third search point based on th...
Many parameterized algorithms for NP-hard graph problems are search tree algorithms with sophisticated local branching rules. But it has also been noticed that the global structur...
— We present a hardware-accelerated implementation of a bottom-up visual attention algorithm. This algorithm generates a multi-scale saliency map from differences in image intens...
Abstract. We present different architectures to solve Boolean satisfiability problems in instance-specific hardware. A simulation of these architectures shows that for examples fro...
The Local Outlier Factor (LOF) is a very powerful anomaly detection method available in machine learning and classification. The algorithm defines the notion of local outlier in...