This paper presents ISCLEs, a novel and robust analog design method that promises to scale with Moore’s Law, by doing boosting-style importance sampling on digital-sized circuit...
Graph based semi-supervised learning methods (SSL) implicitly assume that the intrinsic geometry of the data points can be fully specified by an Euclidean distance based local ne...
Multi–comparand associative processors are efficient in parallel processing of complex search problems that arise from many application areas including computational geometry, ...
This paper addresses the problem of face recognition in the presence of deformation due to expressions. Facial motion is considered as an isometric mapping between surfaces, which...
Iordanis Mpiperis, Sotiris Malassiotis, Michael G....
The fabless model was traditionally enabled through clean interfaces – both in technical and business terms – between foundries and fabless semiconductor companies. However, w...
Thomas Hartung, Jim Kupec, Ana Hunter, Brad Paulse...