On Issues of Instance Selection
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Spherical models do not provide an accurate fit for fisheye lenses and it is an open problem.
“However, spherical models do not provide an accurate fit for fisheye lenses and it is an open problem.”
From WoodScape: A Multi-Task, Multi-Camera Fisheye Dataset for Autonomous Driving (2019) · cites this paper as [9]
There are very few public fisheye datasets and none of them provide semantic segmentation annotation.
“There are very few public fisheye datasets and none of them provide semantic segmentation annotation.”
From WoodScape: A Multi-Task, Multi-Camera Fisheye Dataset for Autonomous Driving (2019) · cites this paper as [9]
The citation lists haven’t been fetched yet
References 61 · Cited by 191
- Authors
- Liu, H., & Motoda, H.
- Affiliations
- Arizona State University (US)
- The Institute of Scientific and Industrial Research, The University of Osaka (JP)
- ORCID
- Liu, Huan
- Venue
- Data Mining and Knowledge Discovery
- Published
- 2002-04
- Volume
- 6
- Issue
- 2
- Pages
- 115-130
- ISSN
- 1384-5810 (ISSN-L)
- 1573-756X
- OpenAlex
- W2134086158
- Cited by
- 191
- References
- 61
- Citations by year
- 2026: 2 · 2025: 5 · 2024: 1 · 2023: 3 · 2022: 7 · 2021: 8 · 2020: 7 · 2019: 8 · 2018: 11 · 2017: 5 · 2016: 11 · 2015: 19 · 2014: 13 · 2013: 11 · 2012: 12
- FWCI
- 1.73
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Data Mining and Knowledge Discovery (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Machine Learning and Data Classification
- Physical Sciences › Computer Science › Information Systems › Data Mining Algorithms and Applications
- Physical Sciences › Computer Science › Information Systems › Data Mining and Machine Learning Applications
- Keywords
- instance selection, data mining, knowledge discovery, data selection, data preprocessing, pattern discovery, information explosion
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 ›
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