We describe a method referred to as sequence counting to improve on the levels of compaction achievable by vector omission based static compaction procedures. Such procedures are ...
Abstract— In this paper, we propose a novel, effective and efficient probabilistic pruning criterion for probabilistic similarity queries on uncertain data. Our approach support...
Thomas Bernecker, Tobias Emrich, Hans-Peter Kriege...
Synthesis of reversible logic has become an active research area in the last years. But many proposed algorithms are evaluated with a small set of benchmarks only. Furthermore, re...
In this paper, we investigate dual applications for logic implications, which can provide both online error detection capabilities and improve the testing efficiency of an integr...
Nuno Alves, Kundan Nepal, Jennifer Dworak, R. Iris...
Recent research on model counting in CNF formulas has shown that a certain sampling method can yield results that are sound with a provably high probability. The key idea is to ite...