— We present a family of metrics for power spectra based on the Monge-Kantorivic transportation distances. These metrics are constructed so that distances reduce with additive an...
Johan Karlsson, Mir Shahrouz Takyar, Tryphon T. Ge...
We present a data-driven approach to predict the importance of edges and construct a Markov network for image analysis based on statistical models of global and local image feature...
We propose a new approach to RT-level power modeling for combinationalmacros, that does not require simulationbased characterization. A pattern-dependent power model for a macro i...
Alessandro Bogliolo, Luca Benini, Giovanni De Mich...
We study statistical consistency of two recently proposed subspace identification algorithms for closed-loop systems. These algorithms een as implementations of an abstract state-...
Background: In the analysis of networks we frequently require the statistical significance of some network statistic, such as measures of similarity for the properties of interact...