Fast Discriminative Visual Codebooks using Randomized Clustering Forests
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Right-skewness is generally not an issue for non-parametric methods such as the ET Regressor.
“This is generally not an issue for non-parametric methods [18] such as the ET Regressor.”
From Turnaround time prediction for clinical chemistry samples using machine learning (2022) · cites this paper as [18]
The ET Regressor is suitable for problems with a high-dimensional feature space due to its ensemble of diverse trees.
“It is suitable for problems with a high dimensional feature space as considered in this paper, due to the generated ensemble of diverse trees [17,18].”
From Turnaround time prediction for clinical chemistry samples using machine learning (2022) · cites this paper as [18]
Cites
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Distinctive Image Features from Scale-Invariant Keypoints
Lowe, D. G. (2004) · International Journal of Computer Vision · doi:10.1023/b:visi.0000029664.99615.94 · Cited by 55,589 · see citing works
Video Google: a text retrieval approach to object matching in videos
Sivic, & Zisserman (2003) · Proceedings Ninth IEEE International Conference on Computer Vision · doi:10.1109/iccv.2003.1238663 · Cited by 6,367 · see citing works
When Is ''Nearest Neighbor'' Meaningful?
Beyer, K., Goldstein, J., Ramakrishnan, R., & Shaft, U. (1999) · Lecture Notes in Computer Science · doi:10.1007/3-540-49257-7_15 · Cited by 2,403 · see citing works
Representing and Recognizing the Visual Appearance of Materials Using Three-Dimensional Textons
Leung, T., & Malik, J. (2001) · International Journal of Computer Vision · doi:10.1023/a:1011126920638 · Cited by 1,498 · cited 1× · see citing works
“The usual way to handle the resulting set of descriptor vectors is to vector quantize them to produce socalled textons [ 12 ] or visual words [5, 22].”
BackgroundSampling Strategies for Bag-of-Features Image Classification
Nowak, E., Jurie, F., & Triggs, B. (2006) · Lecture Notes in Computer Science · doi:10.1007/11744085_38 · Cited by 927 · see citing works
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Fisher Kernels on Visual Vocabularies for Image Categorization
Perronnin, F., & Dance, C. (2007) · 2007 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2007.383266 · Cited by 1,641 · see citing works
Understanding bag-of-words model: a statistical framework
Zhang, Y., Jin, R., & Zhou, Z.-H. (2010) · International Journal of Machine Learning and Cybernetics · doi:10.1007/s13042-010-0001-0 · Cited by 1,384 · see citing works
The devil is in the details: an evaluation of recent feature encoding methods
Chatfield, K., Lempitsky, V., Vedaldi, A., & Zisserman, A. (2011) · Procedings of the British Machine Vision Conference 2011 · doi:10.5244/c.25.76 · Cited by 834 · see citing works
Turnaround time prediction for clinical chemistry samples using machine learning
Tsai, E. R., Demirtas, D., Hoogendijk, N., Tintu, A. N., & Boucherie, R. J. (2022) · Clinical Chemistry and Laboratory Medicine (CCLM) · doi:10.1515/cclm-2022-0668 · Cited by 17 · see citing works
- Authors
- Moosmann, F., Triggs, B., & Jurie, F.
- Affiliations
- Karlsruhe Institute of Technology (DE)
- Centre National de la Recherche Scientifique (FR)
- ORCID
- Triggs, Bill
- Venue
- Advances in Neural Information Processing Systems 19
- Publisher
- The MIT Press
- Published
- 2007-09-07
- Pages
- 985-992
- OpenAlex
- W2104170135
- Cited by
- 467
- References
- 6
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 3 · 2023: 7 · 2022: 12 · 2021: 8 · 2020: 9 · 2019: 12 · 2018: 16 · 2017: 17 · 2016: 21 · 2015: 39 · 2014: 34 · 2013: 45 · 2012: 54
- FWCI
- 76.30
- Type
- book chapter
- Language
- en
- Open access
- green
- hal.science
- Licence
- other-oa
- Locations
- The MIT Press eBooks (publishedVersion)
- HAL (submittedVersion, other-oa)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Image and Video Retrieval Techniques
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image Retrieval and Classification Techniques
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Video Surveillance and Tracking Methods
- Keywords
- visual codebook, image retrieval
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.
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