Adaptive Sparse Representation based Classification

Contents

• Data sets: AR, ORL, Yale, UCI,
• Comparative methods: kNN, NFS, SRC, ASRC,
• Dimension Reduction methods: LDA, PCA, Identity,
• Data Preprocessing.

How to use

Choose the classifier and dimension reduction method by uncommenting related lines in Main.m

# At the matlab prompt, run the script:
>> Main

Reference paper

If you find this work useful in your research, please consider citing:

@article{wang2014robust,
    title={Robust face recognition via adaptive sparse representation},
    author={Wang, Jing and Lu, Canyi and Wang, Meng and Li, Peipei and Yan, Shuicheng and Hu, Xuegang},
    journal={IEEE transactions on cybernetics},
    volume={44},
    number={12},
    pages={2368--2378},
    year={2014},
    publisher={IEEE}
}