The DOI matches its Crossref record.
Computer vision and pattern recognition
Abstract
This Special Issue of International Journal of Computer Mathematics (IJCM) offers a venue to present innovative approaches in computer vision and pattern recognition, which have been changing our e...
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
Cited by
Deep learning applications and challenges in big data analytics
Najafabadi, M. M., Villanustre, F., Khoshgoftaar, T. M., Seliya, N., Wald, R., & Muharemagic, E. (2015) · Journal of Big Data · doi:10.1186/s40537-014-0007-7 · Cited by 2,594
An Overview of Overfitting and its Solutions
Ying, X. (2019) · Journal of Physics: Conference Series · doi:10.1088/1742-6596/1168/2/022022 · Cited by 2,352
A review of affective computing: From unimodal analysis to multimodal fusion
Poria, S., Cambria, E., Bajpai, R., & Hussain, A. (2017) · Information Fusion · doi:10.1016/j.inffus.2017.02.003 · Cited by 1,644
Large scale deep learning for computer aided detection of mammographic lesions
Kooi, T., Litjens, G., van Ginneken, B., Gubern-Mérida, A., Sánchez, C. I., Mann, R., den Heeten, A., & Karssemeijer, N. (2017) · Medical Image Analysis · doi:10.1016/j.media.2016.07.007 · Cited by 965
Recent advances in small object detection based on deep learning: A review
Tong, K., Wu, Y., & Zhou, F. (2020) · Image and Vision Computing · doi:10.1016/j.imavis.2020.103910 · Cited by 592
Metadata
- Authors
- Zheng, N., Loizou, G., Jiang, X., Lan, X., & Li, X.
- Venue
- International Journal of Computer Mathematics
- Publisher
- Informa UK Limited
- Published
- 2007-09
- Volume
- 84
- Issue
- 9
- Pages
- 1265-1266
- ISSN
- 0020-7160 (ISSN-L)
- 1029-0265
- OpenAlex
- W2153110463
- Cited by
- 2,463
- References
- 0
- FWCI
- 68.95
- 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: Computer vision and pattern recognition. https://app.cochat.ai/papers/10.1080/00207160701303912
- The paper
- Zheng, N., Loizou, G., Jiang, X., Lan, X., & Li, X. (2007). Computer vision and pattern recognition. International Journal of Computer Mathematics. https://doi.org/10.1080/00207160701303912
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.