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» Model selection by sequentially normalized least squares
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JMIV
2007
158views more  JMIV 2007»
14 years 11 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
15 years 11 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»
14 years 10 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
15 years 3 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
15 years 6 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...