The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Feature normalization and likelihood-based similarity measures for image retrieval
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 Regression and Outlier Detection
Rousseeuw, P. J., & Leroy, A. M. (1987) · Wiley Series in Probability and Statistics · doi:10.1002/0471725382 · Cited by 5,609
Cited by
Investigating the impact of data normalization on classification performance
Singh, D., & Singh, B. (2020) · Applied Soft Computing · doi:10.1016/j.asoc.2019.105524 · Cited by 1,726
A methodological approach to the classification of dermoscopy images
Celebi, M. E., Kingravi, H. A., Uddin, B., Iyatomi, H., Aslandogan, Y. A., Stoecker, W. V., & Moss, R. H. (2007) · Computerized Medical Imaging and Graphics · doi:10.1016/j.compmedimag.2007.01.003 · Cited by 693
Standardization and Its Effects on K-Means Clustering Algorithm
Mohamad, I. B., & Usman, D. (2013) · Research Journal of Applied Sciences, Engineering and Technology · doi:10.19026/rjaset.6.3638 · Cited by 411
Anomaly-Based Intrusion Detection From Network Flow Features Using Variational Autoencoder
Zavrak, S., & Iskefiyeli, M. (2020) · IEEE Access · doi:10.1109/access.2020.3001350 · Cited by 322
Early Detection of Depression: Social Network Analysis and Random Forest Techniques
Cacheda, F., Fernandez, D., Novoa, F. J., & Carneiro, V. (2019) · Journal of Medical Internet Research · doi:10.2196/12554 · Cited by 206
Metadata
- Authors
- Aksoy, S., & Haralick, R. M.
- Venue
- Pattern Recognition Letters
- Publisher
- Elsevier BV
- Published
- 2001-04
- Volume
- 22
- Issue
- 5
- Pages
- 563-582
- ISSN
- 0167-8655 (ISSN-L)
- OpenAlex
- W2172246201
- Cited by
- 457
- References
- 1
- FWCI
- 4.24
- 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: Feature normalization and likelihood-based similarity measures for image retrieval. https://app.cochat.ai/papers/10.1016/s0167-8655(00)00112-4
- The paper
- Aksoy, S., & Haralick, R. M. (2001). Feature normalization and likelihood-based similarity measures for image retrieval. Pattern Recognition Letters. https://doi.org/10.1016/s0167-8655(00)00112-4
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.
