Mining Spatial-Temporal Patterns and Structural Sparsity for Human Motion Data Denoising.
- DOI
- 10.1109/tcyb.2014.2381659
- Published
- 2015 Dec
- Container
- IEEE transactions on cybernetics
- Publisher
- Not recorded
- Open access
- unknown
Credibility signals
limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1109/tcyb.2014.2381659,
title = {Mining Spatial-Temporal Patterns and Structural Sparsity for Human Motion Data Denoising.},
author = {Feng Y and Ji M and Xiao J and Yang X and Zhang JJ and Zhuang Y and Li X},
year = {2015},
journal = {IEEE transactions on cybernetics},
doi = {10.1109/tcyb.2014.2381659},
url = {https://doi.org/10.1109/tcyb.2014.2381659}
}RIS
TY - JOUR TI - Mining Spatial-Temporal Patterns and Structural Sparsity for Human Motion Data Denoising. AU - Feng Y AU - Ji M AU - Xiao J AU - Yang X AU - Zhang JJ AU - Zhuang Y AU - Li X PY - 2015 JO - IEEE transactions on cybernetics DO - 10.1109/tcyb.2014.2381659 UR - https://doi.org/10.1109/tcyb.2014.2381659 ER -
APA
Y, F., M, J., J, X., X, Y., JJ, Z., Y, Z., & X, L. (2015). Mining Spatial-Temporal Patterns and Structural Sparsity for Human Motion Data Denoising.. IEEE transactions on cybernetics. https://doi.org/10.1109/tcyb.2014.2381659
Source records
- pubmed · retrieved 2026-09-25T14:37:05.872Z