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EVOW
2010
Springer
13 years 11 months ago
Towards Automated Learning of Object Detectors
Recognizing arbitrary objects in images or video sequences is a difficult task for a computer vision system. We work towards automated learning of object detectors from video seque...
Marc Ebner
FOCS
2010
IEEE
13 years 5 months ago
Boosting and Differential Privacy
Boosting is a general method for improving the accuracy of learning algorithms. We use boosting to construct improved privacy-preserving synopses of an input database. These are da...
Cynthia Dwork, Guy N. Rothblum, Salil P. Vadhan
SIGMOD
2012
ACM
190views Database» more  SIGMOD 2012»
11 years 10 months ago
Sample-driven schema mapping
End-users increasingly find the need to perform light-weight, customized schema mapping. State-of-the-art tools provide powerful functions to generate schema mappings, but they u...
Li Qian, Michael J. Cafarella, H. V. Jagadish
TMC
2012
11 years 10 months ago
Message Drop and Scheduling in DTNs: Theory and Practice
Abstract—In order to achieve data delivery in Delay Tolerant Networks (DTN), researchers have proposed the use of store-carryand-forward protocols: a node there may store a messa...
Amir Krifa, Chadi Barakat, Thrasyvoulos Spyropoulo...
CVIU
2007
154views more  CVIU 2007»
13 years 7 months ago
Smart particle filtering for high-dimensional tracking
Tracking articulated structures like a hand or body within a reasonable time is challenging because of the high dimensionality of the state space. Recently, a new optimization met...
Matthieu Bray, Esther Koller-Meier, Luc J. Van Goo...