In this study we address the problem of extracting a robust connectivity metric for brain white matter. We defined the connectivity problem as an energy minimization task, by assoc...
Heterogeneous systems, systems with multiple processors tailored for specialized tasks, are challenging programming environments. While it may be possible for domain experts to op...
Andrew Kerr, Gregory F. Diamos, Sudhakar Yalamanch...
These notes cover several topics such as Review of Statistics, Least Squares and Maximum Likelihood Estimation, Index Models, Testing CAPM and Multifactor Models
Event Studies, Ti...
This paper proposes a methodology for extending SystemC to mixed signal systems, aimed at allowing the reuse of analog models and to the simulation of heterogeneous systems. To th...
We suggest a nonparametric framework for unsupervised learning of projection models in terms of density estimation on quantized sample spaces. The objective is not to optimally re...