A Deep Structured Model with Radius–Margin Bound for 3D Human Activity Recognition
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A method was proposed using an SVM classifier with a radial basis function (RBF) kernel to categorize the KDD 1999 dataset into predetermined classes.
“A method was proposed using an SVM classifier with a radial basis function (RBF) kernel to categorize the KDD 1999 dataset into predetermined classes [142].”
From Comparative Analysis of Intrusion Detection Systems and Machine Learning Based Model Analysis through Decision Tree (2023) · cites this paper as [142]
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References 62 · Cited by 104
Research works printed but not linked: 1
- [35]35. Sermanet P, Kavukcuoglu K, Chintala S, LeCun Y (2013) Pedestrian detection with unsupervised multistage feature learning. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , pp 36263633
- Authors
- Lin, L., Wang, K., Zuo, W., Wang, M., Luo, J., & Zhang, L.
- Affiliations
- Hong Kong Polytechnic University (HK)
- Harbin Institute of Technology (CN)
- Hefei University of Technology (CN)
- University of Rochester (US)
- Corresponding author
- Zuo, Wangmeng
- Venue
- International Journal of Computer Vision
- Published
- 2015-12-28
- Volume
- 118
- Issue
- 2
- Pages
- 256-273
- ISSN
- 0920-5691 (ISSN-L)
- 1573-1405
- OpenAlex
- W2192598490
- Cited by
- 104
- References
- 62
- Citations by year
- 2025: 2 · 2024: 2 · 2023: 7 · 2022: 14 · 2021: 11 · 2020: 17 · 2019: 9 · 2018: 17 · 2017: 16 · 2016: 9
- FWCI
- 12.16
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- International Journal of Computer Vision (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- PolyU Institutional Research Archive (Hong Kong Polytechnic University) (submittedVersion)
- arXiv (Cornell University)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Human Pose and Action Recognition
- Physical Sciences › Computer Science › Human-Computer Interaction › Hand Gesture Recognition Systems
- Keywords
- regularization, latent variables, convolutional neural networks, depth sensors, generalization, iterative learning algorithm
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