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CVPR
2010
IEEE
16 years 2 months ago
Object-Graphs for Context-Aware Category Discovery
How can knowing about some categories help us to discover new ones in unlabeled images? Unsupervised visual category discovery is useful to mine for recurring objects without huma...
Yong Jae Lee, Kristen Grauman
CGO
2009
IEEE
16 years 1 months ago
Automatic Feature Generation for Machine Learning Based Optimizing Compilation
Recent work has shown that machine learning can automate and in some cases outperform hand crafted compiler optimizations. Central to such an approach is that machine learning tec...
Hugh Leather, Edwin V. Bonilla, Michael O'Boyle
CCS
2009
ACM
16 years 1 months ago
A framework for quantitative security analysis of machine learning
We propose a framework for quantitative security analysis of machine learning methods. Key issus of this framework are a formal specification of the deployed learning model and a...
Pavel Laskov, Marius Kloft
ICSM
2009
IEEE
16 years 1 months ago
Expert recommendation with usage expertise
Global and distributed software development increases the need to find and connect developers with relevant expertise. Existing recommendation systems typically model expertise b...
David Ma, David Schuler, Thomas Zimmermann, Jonath...
ICCS
2009
Springer
16 years 1 months ago
Improving the Scalability of SimGrid Using Dynamic Routing
Research into large-scale distributed systems often relies on the use of simulation frameworks in order to bypass the disadvantages of performing experiments on real testbeds. SimG...
Silas De Munck, Kurt Vanmechelen, Jan Broeckhove