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ICML
2006
IEEE
14 years 9 months ago
R1-PCA: rotational invariant L1-norm principal component analysis for robust subspace factorization
Principal component analysis (PCA) minimizes the sum of squared errors (L2-norm) and is sensitive to the presence of outliers. We propose a rotational invariant L1-norm PCA (R1-PC...
Chris H. Q. Ding, Ding Zhou, Xiaofeng He, Hongyuan...
KDD
2004
ACM
195views Data Mining» more  KDD 2004»
14 years 9 months ago
Improved robustness of signature-based near-replica detection via lexicon randomization
Detection of near duplicate documents is an important problem in many data mining and information filtering applications. When faced with massive quantities of data, traditional d...
Aleksander Kolcz, Abdur Chowdhury, Joshua Alspecto...
SOSP
2001
ACM
14 years 5 months ago
Building a Robust Software-Based Router Using Network Processors
Recent efforts to add new services to the Internet have increased interest in software-based routers that are easy to extend and evolve. This paper describes our experiences using...
Tammo Spalink, Scott Karlin, Larry L. Peterson, Yi...
CVPR
2010
IEEE
1192views Computer Vision» more  CVPR 2010»
14 years 5 months ago
RASL: Robust Alignment by Sparse and Low-rank Decomposition for Linearly Correlated Images
This paper studies the problem of simultaneously aligning a batch of linearly correlated images despite gross corruption (such as occlusion). Our method seeks an optimal set of im...
Yigang Peng, Arvind Balasubramanian, John Wright, ...
CVPR
2010
IEEE
14 years 5 months ago
Robust video denoising using low rank matrix completion
Most existing video denoising algorithms assume a single statistical model of image noise, e.g. additive Gaussian white noise, which often is violated in practice. In this paper, ...
Hui Ji, Chaoqiang Liu, Zuowei Shen, Yuhong Xu