The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Sparse Representation for Computer Vision and Pattern Recognition
Abstract
Techniques from sparse signal representation are beginning to see significant impact in computer vision, often on nontraditional applications where the goal is not just to obtain a compact high-fidelity representation of the observed signal, but also to extract semantic information. The choice of dictionary plays a key role in bridging this gap: unconventional dictionaries consisting of, or learned from, the training samples themselves provide the key to obtaining state-of-the-art results and to attaching semantic meaning to sparse signal representations. Understanding the good performance of such unconventional dictionaries in turn demands new algorithmic and analytical techniques. This review paper highlights a few representative examples of how the interaction between sparse signal representation and computer vision can enrich both fields, and raises a number of open questions for further study.
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Cites
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Cited by
Graph embedding techniques, applications, and performance: A survey
Goyal, P., & Ferrara, E. (2018) · Knowledge-Based Systems · doi:10.1016/j.knosys.2018.03.022 · Cited by 1,801
Image reconstruction by domain-transform manifold learning
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Robust object tracking via sparsity-based collaborative model
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CNN: Single-label to Multi-label
Wei, Y., Xia, W., Huang, J., Ni, B., Dong, J., Zhao, Y., & Yan, S. (2014) · arXiv · doi:10.48550/arxiv.1406.5726 · Cited by 784
Self-citationSparse coding with memristor networks
Sheridan, P. M., Cai, F., Du, C., Ma, W., Zhang, Z., & Lu, W. D. (2017) · Nature Nanotechnology · doi:10.1038/nnano.2017.83 · Cited by 619
Metadata
- Authors
- Wright, J., Ma, Y., Mairal, J., Sapiro, G., Huang, T. S., & Yan, S.
- Venue
- Proceedings of the IEEE
- Published
- 2010-06
- Volume
- 98
- Issue
- 6
- Pages
- 1031-1044
- ISSN
- 0018-9219 (ISSN-L)
- 1558-2256
- OpenAlex
- W2069959554
- Cited by
- 1,847
- References
- 8
- FWCI
- 117.17
- Type
- journal article
- Language
- en
- Open access
- closed
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