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Citations for "A Review of Nearest Neighbor-Support Vector Machines Hybrid Classification Models"


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Fu, J., H. Hu, R. Chen and H. Ren, 2012. A framework based on multi-models and multi-features for sports video semantic analysis. Inform. Technol. J., 11: 1381-1390.
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Yi-Bing, L., L. Jing-Chao and K. Jian, 2012. Classifier design algorithms aimed at overlapping characteristics. Inform. Technol. J., 11: 1091-1096.
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A survey on video-based Human Action Recognition: recent updates, datasets, challenges, and applications
Artificial Intelligence Review Vol. 54, Issue 3, 2259, 2021

A hybrid text classification approach with low dependency on parameter by integrating K-nearest neighbor and support vector machine
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Web Document Classification using Support Vector Machine
2017 International Conference on Current Trends in Computer, Electrical, Electronics and Communication (CTCEEC)

Latent Topic Text Representation Learning on Statistical Manifolds
IEEE Transactions on Neural Networks and Learning Systems Vol. 29, Issue 11, 5643, 2018

Predicting Missing Attribute Values Using k-Means Clustering
Journal of Computer Science Vol. 7, Issue 2, 216, 2011

A PROPOSAL OF KC-SVM CLASSIFIER FOR EEG FEATURES OBTAINED THROUGH SF FILTERING WITH APPLICATION ON BCI DATA
Biomedical Engineering: Applications, Basis and Communications Vol. 29, Issue 04, 1750024, 2017

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