The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
Deep Spectral Clustering Using Dual Autoencoder Network
Open accessAbstract
The clustering methods have recently absorbed even-increasing attention in learning and vision. Deep clustering combines embedding and clustering together to obtain optimal embedding subspace for clustering, which can be more effective compared with conventional clustering methods. In this paper, we propose a joint learning framework for discriminative embedding and spectral clustering. We first devise a dual autoencoder network, which enforces the reconstruction constraint for the latent representations and their noisy versions, to embed the inputs into a latent space for clustering. As such the learned latent representations can be more robust to noise. Then the mutual information estimation is utilized to provide more discriminative information from the inputs. Furthermore, a deep spectral clustering method is applied to embed the latent representations into the eigenspace and subsequently clusters them, which can fully exploit the relationship between inputs to achieve optimal clustering results. Experimental results on benchmark datasets show that our method can significantly outperform state-of-the-art clustering approaches.
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Deep Learning for Anomaly Detection: A Review
Pang, G., Shen, C., Cao, L., & Hengel, A. V. D. (2022) · ACM Computing Surveys · doi:10.1145/3439950 · Cited by 2,837
Deep multi-view learning methods: A review
Yan, X., Hu, S., Mao, Y., Ye, Y., & Yu, H. (2021) · Neurocomputing · doi:10.1016/j.neucom.2021.03.090 · Cited by 322
eFraudCom: An E-commerce Fraud Detection System via Competitive Graph Neural Networks
Zhang, G., Li, Z., Huang, J., Wu, J., Zhou, C., Yang, J., & Gao, J. (2022) · ACM Transactions on Information Systems · doi:10.1145/3474379 · Cited by 177
Metadata
- Authors
- Yang, X., Deng, C., Zheng, F., Yan, J., & Liu, W.
- Venue
- 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
- Publisher
- IEEE
- Published
- 2019-06
- Pages
- 4061-4070
- ISSN
- 1063-6919 (ISSN-L)
- OpenAlex
- W2943678367
- Cited by
- 313
- References
- 40
- FWCI
- 18.53
- Type
- conference paper
- Language
- en
- Open access
- green
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- Yang, X., Deng, C., Zheng, F., Yan, J., & Liu, W. (2019). Deep Spectral Clustering Using Dual Autoencoder Network. 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). https://doi.org/10.1109/cvpr.2019.00419
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