@INPROCEEDINGS{Peng2013:scalable_full, 
author={Xi Peng and Lei Zhang and Zhang Yi}, 
booktitle={Proceedings of the 26th IEEE Conference on Computer Vision and Pattern Recognition}, 
title={Scalable Sparse Subspace Clustering}, 
year={2013}, 
month={June}, 
address={Portland, Oregon},
pages={430-437}, 
keywords={computational complexity;graph theory;image classification;image coding;image motion analysis;image sampling;image segmentation;pattern clustering;SSC;cluster membership recalculation;image clustering;l1-minimization;motion segmentation;out-of-sample problem;sampling-clustering-coding-and-classifying strategy;scalability issue;scalable sparse subspace clustering algorithm;sparse similarity graph;spectral clustering;time complexity;Accuracy;Clustering algorithms;Encoding;Kernel;Laplace equations;Scalability;Sparse matrices;Large scale dataset;Sparse similarity graph;spectral clustering;subspace clustering}, 
doi={10.1109/CVPR.2013.62}, 
ISSN={1063-6919},}


@INPROCEEDINGS{Peng2013:scalable_abbv, 
author={Xi Peng and Lei Zhang and Zhang Yi}, 
booktitle={Proc. of 26th IEEE Conf. Comput. Vis. and Pattern Recognit.}, 
title={Scalable Sparse Subspace Clustering}, 
year={2013}, 
month={Jun.}, 
pages={430-437}, 
address={Portland, Oregon},
doi={10.1109/CVPR.2013.62}, 
ISSN={1063-6919},}