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ICDM
2010
IEEE
167views Data Mining» more  ICDM 2010»
13 years 7 months ago
Averaged Stochastic Gradient Descent with Feedback: An Accurate, Robust, and Fast Training Method
On large datasets, the popular training approach has been stochastic gradient descent (SGD). This paper proposes a modification of SGD, called averaged SGD with feedback (ASF), tha...
Xu Sun, Hisashi Kashima, Takuya Matsuzaki, Naonori...
ICASSP
2011
IEEE
13 years 1 months ago
A fast solution to robust minimum variance beamformer and application to simultaneous MEG and local field potential
Abstract—In this study, a robust minimum variance beamformer (RMVB) is employed for source reconstruction in simultaneous MEG and local field potential (LFP) measurements. RMVB ...
Hamid Reza Mohseni, Morten L. Kringelbach, Mark W....
CVPR
1999
IEEE
14 years 12 months ago
Fast, Robust, and Consistent Camera Motion Estimation
Previous algorithms that recover camera motion from image velocities sufferfrom both bias and excessive variance in the results. We propose a robust estimator of camera motion tha...
Tong Zhang, Carlo Tomasi
ECCV
2002
Springer
14 years 11 months ago
Multi-scale EM-ICP: A Fast and Robust Approach for Surface Registration
We investigate in this article the rigid registration of large sets of points, generally sampled from surfaces. We formulate this problem as a general Maximum-Likelihood (ML) estim...
Sébastien Granger, Xavier Pennec
CVPR
2008
IEEE
14 years 12 months ago
Fast and robust numerical solutions to minimal problems for cameras with radial distortion
A number of minimal problems of structure from motion for cameras with radial distortion have recently been studied and solved in some cases. These problems are known to be numeri...
Karl Åström, Klas Josephson, Martin Byr...