In this paper we demonstrate an automatic approach for emergent semantics modeling of ontologies. We follow the collaborative ontology construction method without the direct intera...
We present a novel framework for multi-label learning that explicitly addresses the challenge arising from the large number of classes and a small size of training data. The key a...
Sparse modeling is a powerful framework for data analysis and processing. Traditionally, encoding in this framework is performed by solving an 1-regularized linear regression prob...
Systems with many integrated circuits (ICs), often of the same type, are increasingly common to meet the constant performance demand. However, systems in recent semiconductor techn...
Mudassar Majeed, Daniel Ahlstrom, Urban Ingelsson,...
—This paper presents a hybrid automatic test pattern generation (ATPG) technique using the staggered launch-oncapture (LOC) scheme followed by the one-hot LOC scheme for testing ...