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CVPR
2012
IEEE
11 years 11 months ago
Batch mode Adaptive Multiple Instance Learning for computer vision tasks
Multiple Instance Learning (MIL) has been widely exploited in many computer vision tasks, such as image retrieval, object tracking and so on. To handle ambiguity of instance label...
Wen Li, Lixin Duan, Ivor Wai-Hung Tsang, Dong Xu
POPL
2006
ACM
14 years 9 months ago
Autolocker: synchronization inference for atomic sections
The movement to multi-core processors increases the need for simpler, more robust parallel programming models. Atomic sections have been widely recognized for their ease of use. T...
Bill McCloskey, Feng Zhou, David Gay, Eric A. Brew...
INFOCOM
2006
IEEE
14 years 3 months ago
Mistreatment in Distributed Caching Groups: Causes and Implications
— Although cooperation generally increases the amount of resources available to a community of nodes, thus improving individual and collective performance, it also allows for the...
Nikolaos Laoutaris, Georgios Smaragdakis, Azer Bes...
EGOV
2004
Springer
14 years 2 months ago
PARMENIDES: Facilitating Democratic Debate
Abstract. This paper describes PARMENIDES, a system which facilitates structured debate about government policy. 1 The PARMENIDES System The last two decades have seen a deliberati...
Katie Atkinson, Trevor J. M. Bench-Capon, Peter Mc...
EDBT
2009
ACM
134views Database» more  EDBT 2009»
14 years 1 months ago
Caching content-based queries for robust and efficient image retrieval
In order to become an effective complement to traditional Web-scale text-based image retrieval solutions, content-based image retrieval must address scalability and efficiency iss...
Fabrizio Falchi, Claudio Lucchese, Salvatore Orlan...