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...
In this work we investigate the feasibility and effectiveness of unsupervised tissue clustering and classification algorithms for DTI data. Tissue clustering and classification ...
Abstract— Routing tree construction is a fundamental problem in modern VLSI design. In this paper we propose CDCTree, an Obstacle-Avoiding Rectilinear Steiner Minimum Tree (OARSM...
Yiyu Shi, Tong Jing, Lei He, Zhe Feng 0002, Xianlo...
Abstract. Dynamic data redistribution enhances data locality and improves algorithm performance for numerous scientific problems on distributed memory multi-computers systems. Prev...
We present Metropolis Photon Sampling (MPS), a visual importance-driven algorithm for populating photon maps. Photon Mapping and other particle tracing algorithms fail if the phot...