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» Robust estimation for sparse data
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CSDA
2010
119views more  CSDA 2010»
13 years 7 months ago
Fast robust estimation of prediction error based on resampling
Robust estimators of the prediction error of a linear model are proposed. The estimators are based on the resampling techniques cross-validation and bootstrap. The robustness of t...
Jafar A. Khan, Stefan Van Aelst, Ruben H. Zamar
ICASSP
2011
IEEE
12 years 11 months ago
Robust underdetermined blind audio source separation of sparse signals in the time-frequency domain
We address the problem of blind source separation in the underdetermined and instantaneous mixture case. The proposed method is based on an algorithm developed by Aissa-El-Bey and...
Si-Mohamed Aziz Sbai, Abdeldjalil Aïssa-El-Be...
SDM
2009
SIAM
208views Data Mining» more  SDM 2009»
14 years 4 months ago
A Bayesian Approach Toward Finding Communities and Their Evolutions in Dynamic Social Networks.
Although a large body of work are devoted to finding communities in static social networks, only a few studies examined the dynamics of communities in evolving social networks. I...
Tianbao Yang, Yun Chi, Shenghuo Zhu, Yihong Gong, ...
ICASSP
2010
IEEE
13 years 7 months ago
Hierarchical dictionary learning for invariant classification
Sparse representation theory has been increasingly used in the fields of signal processing and machine learning. The standard sparse models are not invariant to spatial transform...
Leah Bar, Guillermo Sapiro
ICRA
2009
IEEE
150views Robotics» more  ICRA 2009»
14 years 2 months ago
Flow separation for fast and robust stereo odometry
— Separating sparse flow provides fast and robust stereo visual odometry that deals with nearly degenerate situations that often arise in practical applications. We make use of ...
Michael Kaess, Kai Ni, Frank Dellaert