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128
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ICCV
2001
IEEE
16 years 5 months ago
Robust Principal Component Analysis for Computer Vision
Principal Component Analysis (PCA) has been widely used for the representation of shape, appearance, and motion. One drawback of typical PCA methods is that they are least squares...
Fernando De la Torre, Michael J. Black
CSDA
2004
124views more  CSDA 2004»
15 years 3 months ago
Fast and robust discriminant analysis
The goal of discriminant analysis is to obtain rules that describe the separation between groups of observations. Moreover it allows to classify new observations into one of the k...
Mia Hubert, Katrien van Driessen
ICASSP
2008
IEEE
15 years 10 months ago
Robust correlation analysis with an application to functional MRI
Correlation is often used to measure the similarity between signals and is an important tool in signal and image processing. In some applications it is common that signals are cor...
Joakim Rydell, Magnus Borga, Hans Knutsson
IEEEHPCS
2010
14 years 10 months ago
Robust lossless data hiding: Analysis and evaluation
Robust lossless data hiding (LDH) methods have attracted more and more attentions for copyright protection of multimedia in lossy environment. One of the important requirements of...
Lingling An, Xinbo Gao, Cheng Deng, Feng Ji
128
Voted
ICASSP
2008
IEEE
15 years 10 months ago
Robust speaker identification using auditory features and computational auditory scene analysis
The performance of speaker recognition systems drop significantly under noisy conditions. To improve robustness, we have recently proposed novel auditory features and a robust spe...
Yang Shao, DeLiang Wang