We propose a spectral partitioning approach for large-scale optimization problems, specifically structure from motion. In structure from motion, partitioning methods reduce the pr...
Abstract-- Scientific workflow management systems are increaingly providing the ability to manage and query the provenance of data products. However, the problem of differencing th...
Zhuowei Bao, Sarah Cohen Boulakia, Susan B. Davids...
We present a robust representation for gait recognition that is compact, easy to construct, and affords efficient matching. Instead of a time series based representation comprisin...
Joint module selection and retiming is a powerful technique to optimize the implementation cost and the speed of a circuit specified using a synchronous data-flow graph (DFG). In ...
We present a new, statistical approach to rule learning. Doing so, we address two of the problems inherent in traditional rule learning: The computational hardness of finding rule...