The data mining inspired problem of finding the critical, and most useful features to be used to classify a data set, and construct rules to predict the class of future examples ...
Pablo Moscato, Luke Mathieson, Alexandre Mendes, R...
Amongst provably secure signature schemes, two distinct classes are of particular interest: the ones with tight reduction (e.g., RSA-PSS), and those which support the use of coupon...
In this paper, we present a new capacitance extraction method named Dimension Reduction Technique (DRT) for 3D VLSI interconnects. The DRT converts a complex 3D problem into a ser...
Wei Hong II, Weikai Sun, Zhenhai Zhu, Hao Ji, Ben ...
Methodology, EDA Flow, scripts, and documentation plays a tremendous role in the deployment and standardization of advanced design techniques. In this paper we focus not only on l...
Philippe Royannez, Hugh Mair, Franck Dahan, Mike W...
Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...