The DOI matches its OpenAlex record; 12 of the 12 references it cites were found in a registry or an index.
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Cites
Golub, G. (2012) · doi:10.56021/9781421407944 · Cited by 34,505
Horn, R. A., & Johnson, C. R. (1985) · Cited by 22,203
Neural networks for pattern recognition
(1994) · Choice Reviews Online · doi:10.5860/choice.31-5500 · Cited by 18,538
Haykin, S. (1986) · Cited by 12,603
Multirate Systems and Filter Banks
Vaidyanathan, P. P. (1992) · CaltechAUTHORS (California Institute of Technology) · Cited by 5,457
(2016) · Time Series with Mixed Spectra · doi:10.1201/b15154-8 · Cited by 2,739
Hansen, H. M., Hurwitz, W. N., & Madow, W. G. (1953) · Wiley eBooks · Cited by 1,614
Matrix Algebra Useful for Statistics
Schmee, J. (1985) · Technometrics · doi:10.1080/00401706.1985.10488022 · Cited by 775
Convolutive blind separation of non-stationary sources
Parra, L., & Spence, C. (2000) · IEEE Transactions on Speech and Audio Processing · doi:10.1109/89.841214 · Cited by 766
A complex gradient operator and its application in adaptive array theory
Brandwood (1983) · IEE Proceedings F Communications Radar and Signal Processing · doi:10.1049/ip-f-1:19830003 · Cited by 566
Cited by
Tensor Decomposition for Signal Processing and Machine Learning
Sidiropoulos, N. D., De Lathauwer, L., Fu, X., Huang, K., Papalexakis, E. E., & Faloutsos, C. (2017) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2017.2690524 · Cited by 1,617
Weighted sum-rate maximization using weighted MMSE for MIMO-BC beamforming design
Christensen, S. S., Agarwal, R., De Carvalho, E., & Cioffi, J. M. (2008) · IEEE Transactions on Wireless Communications · doi:10.1109/t-wc.2008.070851 · Cited by 1,014
Learning Spatial-Temporal Regularized Correlation Filters for Visual Tracking
Li, F., Tian, C., Zuo, W., Zhang, L., & Yang, M.-H. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2018.00515 · Cited by 935
Mathematics for Machine Learning
Deisenroth, M. P., Faisal, A. A., & Ong, C. S. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108679930 · Cited by 573
Confidence-weighted linear classification
Dredze, M., Crammer, K., & Pereira, F. (2008) · Proceedings of the 25th international conference on Machine learning - ICML '08 · doi:10.1145/1390156.1390190 · Cited by 375
Metadata
- Authors
- Petersen, K. B., & Pedersen, M. S.
- Published
- 2012-11-15
- OpenAlex
- W2595142274
- Cited by
- 1,434
- References
- 12
- FWCI
- 132.02
- Type
- journal article
- Language
- en
- Open access
- green
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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.
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- Petersen, K. B., & Pedersen, M. S. (2012). The Matrix Cookbook. https://doi.org/10.5281/zenodo.8002926
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.
