A Probabilistic Collaborative Representation Based Approach for Pattern Classification

@article{Cai2016APC,
  title={A Probabilistic Collaborative Representation Based Approach for Pattern Classification},
  author={Sijia Cai and Lei Zhang and Wangmeng Zuo and Xiangchu Feng},
  journal={2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2016},
  pages={2950-2959}
}
Conventional representation based classifiers, ranging from the classical nearest neighbor classifier and nearest subspace classifier to the recently developed sparse representation based classifier (SRC) and collaborative representation based classifier (CRC), are essentially distance based classifiers. Though SRC and CRC have shown interesting classification results, their intrinsic classification mechanism remains unclear. In this paper we propose a probabilistic collaborative representation… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 59 references

Discriminant Waveletfaces and Nearest Feature Classifiers for Face Recognition

IEEE Trans. Pattern Anal. Mach. Intell. • 2002
View 8 Excerpts
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Classification and Boosting with Multiple Collaborative Representations

IEEE Transactions on Pattern Analysis and Machine Intelligence • 2014
View 9 Excerpts
Highly Influenced

Connecting the dots in multi-class classification: From nearest subspace to collaborative representation

2012 IEEE Conference on Computer Vision and Pattern Recognition • 2012
View 9 Excerpts
Highly Influenced

CNN Features Off-the-Shelf: An Astounding Baseline for Recognition

2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops • 2014
View 2 Excerpts
Highly Influenced

Generalized Max Pooling

2014 IEEE Conference on Computer Vision and Pattern Recognition • 2014
View 2 Excerpts
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Efficient Object Detection and Segmentation for Fine-Grained Recognition

2013 IEEE Conference on Computer Vision and Pattern Recognition • 2013
View 2 Excerpts
Highly Influenced

Human action recognition by learning bases of action attributes and parts

2011 International Conference on Computer Vision • 2011
View 5 Excerpts
Highly Influenced

Locality-constrained Linear Coding for image classification

2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition • 2010
View 4 Excerpts
Highly Influenced

Linear spatial pyramid matching using sparse coding for image classification

2009 IEEE Conference on Computer Vision and Pattern Recognition • 2009
View 4 Excerpts
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