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» Model selection by sequentially normalized least squares
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JMIV
2007
158views more  JMIV 2007»
13 years 7 months ago
On the Consistency of the Normalized Eight-Point Algorithm
A recently proposed argument to explain the improved performance of the eight-point algorithm that results from using normalized data [IEEE Trans. Pattern Anal. Mach. Intell., 25(9...
Wojciech Chojnacki, Michael J. Brooks
ICIAP
2007
ACM
14 years 7 months ago
A Consistency Result for the Normalized Eight-Point Algorithm
A recently proposed argument to explain the improved performance of the eight-point algorithm that results from using normalized data [IEEE Trans. Pattern Anal. Mach. Intell., 25(...
Wojciech Chojnacki, Michael J. Brooks
CORR
2010
Springer
134views Education» more  CORR 2010»
13 years 6 months ago
The LASSO risk for gaussian matrices
We consider the problem of learning a coefficient vector x0 ∈ RN from noisy linear observation y = Ax0 + w ∈ Rn . In many contexts (ranging from model selection to image proce...
Mohsen Bayati, Andrea Montanari
COLT
2006
Springer
13 years 11 months ago
A Randomized Online Learning Algorithm for Better Variance Control
We propose a sequential randomized algorithm, which at each step concentrates on functions having both low risk and low variance with respect to the previous step prediction functi...
Jean-Yves Audibert
IJCNN
2008
IEEE
14 years 1 months ago
Long-term prediction of time series using NNE-based projection and OP-ELM
Abstract— This paper proposes a combination of methodologies based on a recent development –called Extreme Learning Machine (ELM)– decreasing drastically the training time of...
Antti Sorjamaa, Yoan Miche, Robert Weiss, Amaury L...