Abstract— We recast the problem of unconstrained continuous evolutionary optimization as inference in a fixed graphical model. This approach allows us to address several pervasi...
Christopher K. Monson, Kevin D. Seppi, James L. Ca...
We introduce a non-linear shape prior for the deformable model framework that we learn from a set of shape samples using recent manifold learning techniques. We model a category o...
In order to investigate the behavior of the solvation, particularly, to quantify the solvent effects on the properties of solutes on a molecular basis, several simulation approach...
Zhifeng Yun, Samuel J. Keasler, Maoyuan Xie, Zhou ...
Ad hoc networks rely on nodes forwarding each other’s packets, making trust and cooperation key issues for ensuring network performance. As long as all nodes in the network belo...
Lossless condensers are unbalanced expander graphs, with expansion close to optimal. Equivalently, they may be viewed as functions that use a short random seed to map a source on ...