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» Diagnosing decision quality
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CVPR
2005
IEEE
16 years 8 months ago
WaldBoost - Learning for Time Constrained Sequential Detection
: In many computer vision classification problems, both the error and time characterizes the quality of a decision. We show that such problems can be formalized in the framework of...
Jan Sochman, Jiri Matas
MASCOTS
2003
15 years 7 months ago
Bottleneck Estimation for Load Control Gateways
Providing Quality of Service (QoS) to inelastic data transmissions in a cost-efficient, highly scalable, and realistic fashion in IP networks remains a challenging research issue....
Krishna Pandit, Jens Schmitt, Martin Karsten, Ralf...
ICASSP
2011
IEEE
14 years 9 months ago
BEP walls for collaborative spectrum sensing
—The main focus of this paper is to present a performance limitation of collaborative spectrum sensing in cognitive radios with imperfect reporting channels. We consider hard dec...
Sachin Chaudhari, Jarmo Lundén, Visa Koivun...
KAIS
2008
221views more  KAIS 2008»
15 years 6 months ago
Forecasting skewed biased stochastic ozone days: analyses, solutions and beyond
Much work on skewed, stochastic, high dimensional, and biased datasets usually implicitly solve each problem separately. Recently, we have been approached by Texas Commission on En...
Kun Zhang, Wei Fan
ICSE
1999
IEEE-ACM
15 years 10 months ago
Experience with Performing Architecture Tradeoff Analysis
Software architectures, like complex designs in any field, embody tradeoffs made by the designers. However, these tradeoffs are not always made explicitly by the designers and the...
Rick Kazman, Mario Barbacci, Mark Klein, S. Jeromy...