The DOI matches its Crossref record; 31 of the 33 references it cites were found in a registry or an index.
The Nonlinear Statistics of High-Contrast Patches in Natural Images
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“The full data set consists of roughly 8,000,000 points in E 9 .”
From Barcodes: the persistent topology of data (2007) · cites this paper as [18]
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“The result of this construction is a database M of ca.4.5 × 10 6 points on a 7-dimensional ellipsoid in R 8 .”
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“By normalizing with respect to mean intensity and restricting attention to high-contrast images (those away from the origin), the data set is projected to a set of points M on a topological seven-sphere S 7 ⊂ E 8 .”
From Barcodes: the persistent topology of data (2007) · cites this paper as [18]
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“The first two conditions are analogous to the requirements that the mean intensity be zero and the contrast be one, which were imposed on the data set in Lee et al. (2003).”
From Topological pattern recognition for point cloud data (2014) · cites this paper as Lee et al. (2003)
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“In particular, in [41], indications were found that the data was concentrated around an annulus.”
From Topology and data (2009) · cites this paper as [41]
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2 of the 33 references couldn’t be matched to a known paper.
Research works printed but not linked: 3
- Gemen, D. and Koloydenko, A. 1999. Invariant statistics and coding of natural microimages. In Proc. of the IEEE Workshop on Statistical and Computational Theories of Vission. Published on the Web.
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Metadata
- Authors
- Lee, A. B., Pedersen, K. S., & Mumford, D.
- Affiliations
- Brown University (US)
- University of Copenhagen (DK)
- ORCID
- Pedersen, Kim S.
- Venue
- International Journal of Computer Vision
- Published
- 2003-08
- Volume
- 54
- Issue
- 1-3
- Pages
- 83-103
- ISSN
- 0920-5691 (ISSN-L)
- 1573-1405
- OpenAlex
- W2120023453
- Cited by
- 234
- References
- 33
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 5 · 2023: 4 · 2022: 5 · 2021: 11 · 2020: 12 · 2019: 10 · 2018: 9 · 2017: 12 · 2016: 10 · 2015: 9 · 2014: 12 · 2013: 11 · 2012: 18
- FWCI
- 10.70
- Type
- journal article
- Language
- en
- Open access
- green
- nrs.harvard.edu
- Licence
- Locations
- International Journal of Computer Vision (publishedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- Research at the University of Copenhagen (University of Copenhagen) (submittedVersion)
- Funders
- Army Research Office
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image Retrieval and Classification Techniques
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Vision and Imaging
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image and Signal Denoising Methods
- Keywords
- natural image statistics, density estimation, low-dimensional manifolds, optical imagery, 3D range images, intrinsic dimension
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