35 search results - page 3 / 7 » Fault Detection and Isolation with Robust Principal Componen... |
126
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CSDA
2010
15 years 1 months ago
2010
Kernel Principal Component Analysis extends linear PCA from a Euclidean space to any reproducing kernel Hilbert space. Robustness issues for Kernel PCA are studied. The sensitivit...
138
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ICIP
2008
IEEE
16 years 3 months ago
2008
IEEE
This paper proposes a robust video fingerprinting method based on 2-Dimensional Oriented Principal Component Analysis (2D-OPCA) of affine covariant regions. The goal of video fing...
142
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ICIP
2007
IEEE
15 years 5 months ago
2007
IEEE
We propose a novel learning algorithm to detect moving pedestrians from a stationary camera in real-time. The algorithm learns a discriminative model based on eigenflow, i.e. the ...
125
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CVPR
2005
IEEE
16 years 3 months ago
2005
IEEE
Boosting based detection methods have successfully been used for robust detection of faces and pedestrians. However, a very large amount of labeled examples are required for train...
115
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RECSYS
2009
ACM
15 years 6 months ago
2009
ACM
Robustness analysis research has shown that conventional memory-based recommender systems are very susceptible to malicious profile-injection attacks. A number of attack models h...