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» Robust Principal Component Analysis for Computer Vision
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ICPR
2008
IEEE
14 years 2 months ago
Transductive optimal component analysis
We propose a new transductive learning algorithm for learning optimal linear representations that utilizes unlabeled data. We pose the problem of learning linear representations a...
Yuhua Zhu, Yiming Wu, Xiuwen Liu, Washington Mio
ICCV
2005
IEEE
14 years 9 months ago
Geometric Invariants and Applications under Catadioptric Camera Model
This paper presents geometric invariants of points and their applications under central catadioptric camera model. Although the image has severe distortions under the model, we es...
Yihong Wu, Zhanyi Hu
CLUSTER
2009
IEEE
14 years 11 days ago
Numerically stable, single-pass, parallel statistics algorithms
—Statistical analysis is widely used for countless scientific applications in order to analyze and infer meaning from data. A key challenge of any statistical analysis package a...
Janine Bennett, R. Grout, Philippe P. Pébay...
BMVC
2002
13 years 10 months ago
Component-based LDA Face Descriptor for Image Retrieval
We present a component-based face descriptor with LDA (Linear Discriminant Analysis) and a simple pose classification. Our algorithm has been developed to deal with face image ret...
Tae-Kyun Kim, Hyunwoo Kim, Wonjun Hwang, Seok-Cheo...
ICCV
2005
IEEE
14 years 9 months ago
Neighborhood Preserving Embedding
Recently there has been a lot of interest in geometrically motivated approaches to data analysis in high dimensional spaces. We consider the case where data is drawn from sampling...
Xiaofei He, Deng Cai, Shuicheng Yan, HongJiang Zha...