The DOI matches its Crossref record.
Face Detection in Still Gray Images
Open accessAbstract
This report describes research done within the Center for Biological and Computational Learning in the Department of Brain and Cognitive Sciences and in the Arti cial Intelligence Laboratory at the Massachusetts Institute of Technology. This research is sponsored by a grant from Oce of Naval Research under Contract No. N00014-93-1-3085 and Oce of Naval Research under Contract No. N00014-95-1-0600. Additional support is provided by: AT&T, Central Research Institute of Electric Power Industry, Eastman Kodak Company, Daimler-Benz AG, Digital EquipmentCorporation, Honda R&D Co., Ltd., NEC Fund, Nippon Telegraph & Telephone, and Siemens Corporate Research, Inc
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
Riesenhuber, M., & Poggio, T. (2000) · Nature Neuroscience · doi:10.1038/81479 · Cited by 658
Self-citationXNOR-SRAM: In-Memory Computing SRAM Macro for Binary/Ternary Deep Neural Networks
Yin, S., Jiang, Z., Seo, J.-S., & Seok, M. (2020) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2019.2963616 · Cited by 429
Learning optimized features for hierarchical models of invariant object recognition.
Wersing, H., & Körner, E. (2003) · Neural Computation · doi:10.1162/089976603321891800 · Cited by 169
Metadata
- Authors
- Heisele, B., poggio, T., & Pontil, M.
- Publisher
- Defense Technical Information Center
- Published
- 2000-05-01
- OpenAlex
- W1493269421
- Cited by
- 179
- References
- 0
- Type
- report
- Language
- en
- Open access
- green
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: Face Detection in Still Gray Images. https://app.cochat.ai/papers/10.21236/ada459705
- The paper
- Heisele, B., poggio, T., & Pontil, M. (2000). Face Detection in Still Gray Images. https://doi.org/10.21236/ada459705
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.
