The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Unsupervised feature selection by regularized self-representation
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Robust Face Recognition via Sparse Representation
Wright, J., Yang, A. Y., Ganesh, A., Sastry, S. S., & Ma, Y. (2009) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2008.79 · Cited by 9,388
An introduction to variable and feature selection
GuyonIsabelle, & ElisseeffAndré (2003) · Journal of Machine Learning Research · doi:10.5555/944919.944968 · Cited by 7,715
A Non-Local Algorithm for Image Denoising
Buades, A., Coll, B., & Morel, J.-M. (2005) · 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) · doi:10.1109/cvpr.2005.38 · Cited by 7,616
An Introduction to Variable and Feature Selection.
Guyon, I., & Elisseeff, A. (2003) · Cited by 6,576
The Econometrics of Financial Markets
Campbell, J. Y., Lo, A. W., & MacKinlay, A. C. (2012) · Princeton University Press eBooks · doi:10.2307/j.ctt7skm5 · Cited by 5,875
The Econometrics of Financial Markets
Campbell, J. Y., Lo, A. W., & MacKinlay, A. C. (1997) · doi:10.1515/9781400830213 · Cited by 5,008
How Long Is the Coast of Britain? Statistical Self-Similarity and Fractional Dimension
Mandelbrot, B. (1967) · Science · doi:10.1126/science.156.3775.636 · Cited by 4,090
Laplacian Score for Feature Selection
He, X., Cai, D., & Niyogi, P. (2005) · Cited by 1,962
Sparse Representation for Color Image Restoration
Mairal, J., Elad, M., & Sapiro, G. (2008) · IEEE Transactions on Image Processing · doi:10.1109/tip.2007.911828 · Cited by 1,716
Feature selection, L 1 vs. L 2 regularization, and rotational invariance
Ng, A. Y. (2004) · Twenty-first international conference on Machine learning - ICML '04 · doi:10.1145/1015330.1015435 · Cited by 1,572
Cited by
Nonnegative/Binary matrix factorization with a D-Wave quantum annealer
O’Malley, D., Vesselinov, V. V., Alexandrov, B. S., & Alexandrov, L. B. (2018) · PLOS ONE · doi:10.1371/journal.pone.0206653 · Cited by 140
Metadata
- Authors
- Zhu, P., Zuo, W., Zhang, L., Hu, Q., & Shiu, S. C. K.
- Venue
- Pattern Recognition
- Publisher
- Elsevier BV
- Published
- 2015-02
- Volume
- 48
- Issue
- 2
- Pages
- 438-446
- ISSN
- 0031-3203 (ISSN-L)
- OpenAlex
- W2083666679
- Cited by
- 323
- References
- 32
- FWCI
- 22.85
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Unsupervised feature selection by regularized self-representation. https://app.cochat.ai/papers/10.1016/j.patcog.2014.08.006
- The paper
- Zhu, P., Zuo, W., Zhang, L., Hu, Q., & Shiu, S. C. K. (2015). Unsupervised feature selection by regularized self-representation. Pattern Recognition. https://doi.org/10.1016/j.patcog.2014.08.006
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
