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» Robust estimation for sparse data
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CORR
2010
Springer
159views Education» more  CORR 2010»
14 years 10 months ago
Outlier Detection Using Nonconvex Penalized Regression
This paper studies the outlier detection problem from the point of view of penalized regressions. Our regression model adds one mean shift parameter for each of the n data points....
Yiyuan She, Art B. Owen
ISBI
2002
IEEE
15 years 10 months ago
Robust estimation of the hemodynamic response function in asynchronous multitasks multisessions event-related fMRI paradigms
Hemodynamic Response Function (HRF) estimation in noisy functional Magnetic Resonance Imaging (fMRI) is essential for a better understanding of cerebral activations. Previous work...
Guillaume Marrelec, Habib Benali, Jérô...
INTERSPEECH
2010
14 years 4 months ago
Robust and efficient pitch estimation using an iterative ARMA technique
In this article, we propose an innovative way of estimating pitch from speech waveform data, using an iterative ARMA technique that efficiently estimates multiple frequency compon...
Jung Ook Hong, Patrick J. Wolfe
FSR
2007
Springer
108views Robotics» more  FSR 2007»
15 years 4 months ago
Robust Real-Time Local Laser Scanner Registration with Uncertainty Estimation
We present a fast, robust method for registering successive laser rangefinder scans. Correspondences between the current scan and previous scans are determined. Gaussian uncertai...
Justin Carlson, Charles E. Thorpe, David L. Duke
JACM
2011
152views more  JACM 2011»
14 years 21 days ago
Robust principal component analysis?
This paper is about a curious phenomenon. Suppose we have a data matrix, which is the superposition of a low-rank component and a sparse component. Can we recover each component i...
Emmanuel J. Candès, Xiaodong Li, Yi Ma, Joh...