Abstract. Matrix factorization is a fundamental building block in many computer vision and machine learning algorithms. In this work we focus on the problem of ”structure from mo...
The nature of IC design has is necessarily evolving to a more data-centric design flow in which EDA tools share a common information in a design database without the negative cost...
The integration of heterogeneous legacy databases requires understanding of database structure and content. We previously developed a theoretical and software infrastructure to sup...
Mark S. Schmalz, Joachim Hammer, Mingxi Wu, Oguzha...
Machine learning techniques such as tree induction have become accepted tools for developing generalisations of large data sets, typically for use with production rule systems in p...
If future electronic documents are to be truly useful, we must devise ways to automatically turn them into knowledgebases. In particular, we must be able to do this for diagrams. ...