In this paper, motivated by network inference and tomography applications, we study the problem of compressive sensing for sparse signal vectors over graphs. In particular, we are ...
We propose a framework, called MIC, which adopts an information-theoretic approach to address the problem of quantitative association rule mining. In our MIC framework, we first d...
: Several algorithms are common for estimating depth from stereo series, but many of them have difficulties when determining depth of objects having periodical structure. This con...
Ioana Gheta, Christian Frese, Michael Heizmann, J&...
Capability acquisition graphs (CAGs) provide a powerful framework for modeling insider threats, network attacks and system vulnerabilities. However, CAG-based security modeling sys...
Duc T. Ha, Shambhu J. Upadhyaya, Hung Q. Ngo, S. P...
Abstract— This paper presents an approach to create topological maps from geometric maps obtained with a mobile robot in an indoor-environment using range data. Our approach util...