@ARTICLE{Peng2016:SRSC_full, 
author={Peng, Xi and Tang, Huajin and Zhang, Lei and Yi, Zhang and Xiao, Shijie}, 
journal={IEEE Transactions on Neural Networks and Learning Systems}, 
title={A Unified Framework for Representation-Based Subspace Clustering of Out-of-Sample and Large-Scale Data}, 
year={2016}, 
volume={27}, 
number={12}, 
pages={2499-2512}, 
keywords={Clustering algorithms;Clustering methods;Encoding;Error analysis;Laplace equations;Sparse matrices;Yttrium;Error bound analysis;least square regression (LSR);low-rank representation (LRR);out-of-sample problem;scalable subspace clustering;sparse subspace clustering (SSC).}, 
doi={10.1109/TNNLS.2015.2490080}, 
ISSN={2162-237X}, 
month={},}

@ARTICLE{Peng2016:SRSC_abbv, 
author={Peng, Xi and Tang, Huajin and Zhang, Lei and Yi, Zhang and Xiao, Shijie}, 
journal={IEEE Trans Neural Netw. Learn. Syst.}, 
title={A Unified Framework for Representation-Based Subspace Clustering of Out-of-Sample and Large-Scale Data}, 
year={2016}, 
volume={27}, 
number={12}, 
pages={2499-2512}, 
keywords={Clustering algorithms;Clustering methods;Encoding;Error analysis;Laplace equations;Sparse matrices;Yttrium;Error bound analysis;least square regression (LSR);low-rank representation (LRR);out-of-sample problem;scalable subspace clustering;sparse subspace clustering (SSC).}, 
doi={10.1109/TNNLS.2015.2490080}, 
ISSN={2162-237X}, 
month={},}