Approximate Nearest Neighbor (ANN) methods such as Locality Sensitive Hashing, Semantic Hashing, and Spectral Hashing, provide computationally ecient procedures for nding objects...
Background: Determining the function of uncharacterized proteins is a major challenge in the post-genomic era due to the problem's complexity and scale. Identifying a protein...
Aaron Gabow, Sonia M. Leach, William A. Baumgartne...
Abstract—Built-In Self-Test (BIST) is less often applied to random logic than to embedded memories due to the following reasons: Firstly, for a satisfiable fault coverage it may...
We propose a new BDD-based method for decomposition of multi-output incompletely specified logic functions into netlists of two-input logic gates. The algorithm uses the internal ...
Alan Mishchenko, Bernd Steinbach, Marek A. Perkows...
Abstract. Ontology mapping is one of the most important tasks for ontology interoperability and its main aim is to find semantic relationships between entities (i.e. concept, attri...