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| Creator | Title | Description | Subject | Date | ||
|---|---|---|---|---|---|---|
| 1 |
 | Venkatasubramanian, Suresh | Approximate Bregman near neighbors in sublinear time: beyond the triangle inequality | Bregman divergences are important distance measures that are used extensively in data-driven applications such as computer vision, text mining, and speech processing, and are a key focus of interest in machine learning. Answering nearest neighbor (NN) queries under these measures is very important i... | 2012-01-01 | |
| 2 |
 | Regehr, John | Surviving sensor network software faults | We describe Neutron, a version of the TinyOS operating system that efficiently recovers from memory safety bugs. Where existing schemes reboot an entire node on an error, Neutron's compiler and runtime extensions divide programs into recovery units and reboot only the faulting unit. The TinyOS kerne... | 2009-01-01 |
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