We address the problem of Bayesian image reconstruction with a prior that captures the notion of a clustered intensity histogram. The problem is formulated in the framework of a j...
The problem of obtaining the maximum a posteriori (map) estimate of a discrete random field is of fundamental importance in many areas of Computer Science. In this work, we build ...
Abstract -- This paper presents a novel, Boolean approach to LUTbased FPGA technology mapping targeting high performance. As the core of the approach, we have developed a powerful ...
A novel multiregion graph cut image partitioning method combined with kernel mapping is presented. A kernel function transforms implicitly the image data into data of a higher dim...
Reducingcommunicationoverheadhas been widely recognized as a requirement for achieving efficient mappings which substantially reduce the execution time of parallel algorithms. Th...