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Introduction to Statistical Pattern Recognition
Abstract
This chapter contains sections titled: Statistical Pattern Recognition Stages in a Pattern Recognition Problem Issues Supervised Versus Unsupervised Approaches to Statistical Pattern Recognition Multiple Regression Outline of Book Notes and References Exercises
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Cited by
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Pfurtscheller, G., & Neuper, C. (2001) · Proceedings of the IEEE · doi:10.1109/5.939829 · Cited by 1,990
Semi-tied covariance matrices for hidden Markov models
Gales, M. J. F. (1999) · IEEE Transactions on Speech and Audio Processing · doi:10.1109/89.759034 · Cited by 537
Houssein, E. H., Hammad, A., & Ali, A. A. (2022) · Neural Computing and Applications · doi:10.1007/s00521-022-07292-4 · Cited by 426
Optimization problems for machine learning: A survey
Gambella, C., Ghaddar, B., & Naoum-Sawaya, J. (2021) · European Journal of Operational Research · doi:10.1016/j.ejor.2020.08.045 · Cited by 365
A comparative review on sleep stage classification methods in patients and healthy individuals
Boostani, R., Karimzadeh, F., & Nami, M. (2017) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2016.12.004 · Cited by 316
Metadata
- Venue
- Statistical Pattern Recognition
- Publisher
- Wiley
- Published
- 2002-07-18
- Pages
- 1-31
- OpenAlex
- W4298379700
- Cited by
- 158
- References
- 0
- Type
- other
- Language
- en
- Open access
- closed
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- Introduction to Statistical Pattern Recognition. (2002). Statistical Pattern Recognition. https://doi.org/10.1002/0470854774.ch1
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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.
