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» Robustness of the Learning with Errors Assumption
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ICML
2004
IEEE
15 years 10 months ago
Approximate inference by Markov chains on union spaces
A standard method for approximating averages in probabilistic models is to construct a Markov chain in the product space of the random variables with the desired equilibrium distr...
Max Welling, Michal Rosen-Zvi, Yee Whye Teh
CIARP
2007
Springer
15 years 3 months ago
Multi-class Binary Object Categorization Using Blurred Shape Models
The main difficulty in the binary object classification field lays in dealing with a high variability of symbol appearance. Rotation, partial occlusions, elastic deformations, or...
Sergio Escalera, Alicia Fornés, Oriol Pujol...
ML
2010
ACM
138views Machine Learning» more  ML 2010»
14 years 4 months ago
Mining adversarial patterns via regularized loss minimization
Traditional classification methods assume that the training and the test data arise from the same underlying distribution. However, in several adversarial settings, the test set is...
Wei Liu, Sanjay Chawla
85
Voted
HPCA
2008
IEEE
15 years 10 months ago
DeCoR: A Delayed Commit and Rollback mechanism for handling inductive noise in processors
Increases in peak current draw and reductions in the operating voltages of processors continue to amplify the importance of dealing with voltage fluctuations in processors. Noise-...
Meeta Sharma Gupta, Krishna K. Rangan, Michael D. ...
83
Voted
TSP
2010
14 years 4 months ago
Communications-inspired sensing: a case study on waveform design
Information theory, and particularly the mutual information (MI), has provided fundamental guidance for communications research. In Bell's 1993 paper, the MI was first applied...
Wenshu Zhang, Liuqing Yang