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CVPR
2007
IEEE
14 years 12 months ago
Variational Bayes Based Approach to Robust Subspace Learning
This paper presents a new algorithm for the problem of robust subspace learning (RSL), i.e., the estimation of linear subspace parameters from a set of data points in the presence...
Takayuki Okatani, Koichiro Deguchi
ICS
2010
Tsinghua U.
14 years 7 months ago
Robustness of the Learning with Errors Assumption
: Starting with the work of Ishai-Sahai-Wagner and Micali-Reyzin, a new goal has been set within the theory of cryptography community, to design cryptographic primitives that are s...
Shafi Goldwasser, Yael Kalai, Chris Peikert, Vinod...
ICPR
2010
IEEE
14 years 2 months ago
Learning an Efficient and Robust Graph Matching Procedure for Specific Object Recognition
We present a fast and robust graph matching approach for 2D specific object recognition in images. From a small number of training images, a model graph of the object to learn is a...
Jerome Revaud, Guillaume Lavoue, Yasuo Ariki, Atil...
ICCAD
2008
IEEE
107views Hardware» more  ICCAD 2008»
14 years 4 months ago
Importance sampled circuit learning ensembles for robust analog IC design
This paper presents ISCLEs, a novel and robust analog design method that promises to scale with Moore’s Law, by doing boosting-style importance sampling on digital-sized circuit...
Peng Gao, Trent McConaghy, Georges G. E. Gielen
MICCAI
2007
Springer
14 years 4 months ago
Robust Autonomous Model Learning from 2D and 3D Data Sets
In this paper we propose a weakly supervised learning algorithm for appearance models based on the minimum description length (MDL) principle. From a set of training images or volu...
Georg Langs, Rene Donner, Philipp Peloschek, Horst...