TY - GEN
T1 - Discriminative Collaborative Representation and Its Application to Audio Signal Classification
AU - Jiang, Yuechi
AU - Leung, Frank H.F.
PY - 2018/8/20
Y1 - 2018/8/20
N2 - In this paper, we propose Discriminative Collaborative Representation (DCR) as an extension to Collaborative Representation (CR), by adding an extra discriminative term to the original formulation of CR. In the literature, both CR and Sparse Representation (SR) have been shown to be good in signal classification. Compared to SR, CR is more computationally efficient, but does not give obvious performance improvement. Therefore, we propose DCR, which aims at improving the performance of CR in signal classification. Besides, we extend DCR to Kernel DCR (KDCR), which generalizes DCR by introducing kernel functions. Comparisons among SR, CR and DCR are made in doing two audio signal classification tasks. Experimental results show that DCR can outperform CR and SR in both classification tasks, which demonstrates the effectiveness of our proposed DCR and the usefulness of the extra discriminative term.
AB - In this paper, we propose Discriminative Collaborative Representation (DCR) as an extension to Collaborative Representation (CR), by adding an extra discriminative term to the original formulation of CR. In the literature, both CR and Sparse Representation (SR) have been shown to be good in signal classification. Compared to SR, CR is more computationally efficient, but does not give obvious performance improvement. Therefore, we propose DCR, which aims at improving the performance of CR in signal classification. Besides, we extend DCR to Kernel DCR (KDCR), which generalizes DCR by introducing kernel functions. Comparisons among SR, CR and DCR are made in doing two audio signal classification tasks. Experimental results show that DCR can outperform CR and SR in both classification tasks, which demonstrates the effectiveness of our proposed DCR and the usefulness of the extra discriminative term.
KW - audio signal classification
KW - collaborative representation
KW - discriminative collaborative representation
KW - Sparse representation
UR - http://www.scopus.com/inward/record.url?scp=85059774242&partnerID=8YFLogxK
U2 - 10.1109/ICPR.2018.8546024
DO - 10.1109/ICPR.2018.8546024
M3 - Conference article published in proceeding or book
AN - SCOPUS:85059774242
T3 - Proceedings - International Conference on Pattern Recognition
SP - 31
EP - 36
BT - 2018 24th International Conference on Pattern Recognition, ICPR 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 24th International Conference on Pattern Recognition, ICPR 2018
Y2 - 20 August 2018 through 24 August 2018
ER -