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SRDS
2010
IEEE
13 years 5 months ago
Invariants Based Failure Diagnosis in Distributed Computing Systems
This paper presents an instance based approach to diagnosing failures in computing systems. Owing to the fact that a large portion of occurred failures are repeated ones, our meth...
Haifeng Chen, Guofei Jiang, Kenji Yoshihira, Akhil...
CVPR
2005
IEEE
14 years 9 months ago
Efficient Image Matching with Distributions of Local Invariant Features
Sets of local features that are invariant to common image transformations are an effective representation to use when comparing images; current methods typically judge feature set...
Kristen Grauman, Trevor Darrell
IJON
2010
150views more  IJON 2010»
13 years 6 months ago
Linear discriminant analysis using rotational invariant L1 norm
Linear Discriminant Analysis (LDA) is a well-known scheme for supervised subspace learning. It has been widely used in the applications of computer vision and pattern recognition....
Xi Li, Weiming Hu, Hanzi Wang, Zhongfei Zhang
CVPR
2008
IEEE
14 years 9 months ago
Learning patch correspondences for improved viewpoint invariant face recognition
Variation due to viewpoint is one of the key challenges that stand in the way of a complete solution to the face recognition problem. It is easy to note that local regions of the ...
Ahmed Bilal Ashraf, Simon Lucey, Tsuhan Chen
ACCV
2006
Springer
14 years 1 months ago
Occlusion Invariant Face Recognition Using Selective LNMF Basis Images
In this paper, we propose a novel occlusion invariant face recognition algorithm based on Selective Local Nonnegative Matrix Factorization (S-LNMF) technique. The proposed algorith...
Hyun Jun Oh, Kyoung Mu Lee, Sang Uk Lee, Chung-Hyu...