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» Tighter Bounds for Structured Estimation
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IJCNN
2006
IEEE
14 years 3 months ago
Semi-Supervised Model Selection Based on Cross-Validation
We propose a new semi-supervised model selection method that is derived by applying the structural risk minimization principle to a recent semi-supervised generalization error bou...
Matti Kaariainen
ICDE
2010
IEEE
184views Database» more  ICDE 2010»
14 years 2 months ago
On optimal anonymization for l+-diversity
-- Publishing person specific data while protecting privacy is an important problem. Existing algorithms that enforce the privacy principle called l-diversity are heuristic based d...
Junqiang Liu, Ke Wang
JMLR
2002
90views more  JMLR 2002»
13 years 9 months ago
Machine Learning with Data Dependent Hypothesis Classes
We extend the VC theory of statistical learning to data dependent spaces of classifiers. This theory can be viewed as a decomposition of classifier design into two components; the...
Adam Cannon, J. Mark Ettinger, Don R. Hush, Clint ...
ICCV
2011
IEEE
12 years 9 months ago
Multiplexed Illumination for Scene Recovery in the Presence of Global Illumination
Global illumination effects such as inter-reflections and subsurface scattering result in systematic, and often significant errors in scene recovery using active illumination. R...
Jinwei Gu, Toshihiro Kabayashi, Mohit Gupta, Shree...
GLVLSI
2007
IEEE
194views VLSI» more  GLVLSI 2007»
14 years 1 months ago
Probabilistic maximum error modeling for unreliable logic circuits
Reliability modeling and evaluation is expected to be one of the major issues in emerging nano-devices and beyond 22nm CMOS. Such devices would have inherent propensity for gate f...
Karthikeyan Lingasubramanian, Sanjukta Bhanja