The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Texture classification using the support vector machines
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Citations
Cites
Cortes, C., & Vapnik, V. (1995) · Machine Learning · doi:10.1007/bf00994018 · Cited by 59,421
Textural Features for Image Classification
Haralick, R. M., Shanmugam, K., & Dinstein, I. (1973) · IEEE Transactions on Systems, Man, and Cybernetics · doi:10.1109/tsmc.1973.4309314 · Cited by 22,886
Cited by
Financial time series forecasting using independent component analysis and support vector regression
Lu, C.-J., Lee, T.-S., & Chiu, C.-C. (2009) · Decision Support Systems · doi:10.1016/j.dss.2009.02.001 · Cited by 537
Automatic recognition of five types of white blood cells in peripheral blood
Rezatofighi, S. H., & Soltanian-Zadeh, H. (2011) · Computerized Medical Imaging and Graphics · doi:10.1016/j.compmedimag.2011.01.003 · Cited by 411
Texture Description Through Histograms of Equivalent Patterns
Fernández, A., Álvarez, M. X., & Bianconi, F. (2013) · Journal of Mathematical Imaging and Vision · doi:10.1007/s10851-012-0349-8 · Cited by 128
A review of computational intelligence techniques in coral reef-related applications
Salcedo-Sanz, S., Cuadra, L., & Vermeij, M. J. A. (2016) · Ecological Informatics · doi:10.1016/j.ecoinf.2016.01.008 · Cited by 27
Metadata
- Authors
- Li, S., Kwok, J. T., Zhu, H., & Wang, Y.
- Venue
- Pattern Recognition
- Publisher
- Elsevier BV
- Published
- 2003-12
- Volume
- 36
- Issue
- 12
- Pages
- 2883-2893
- ISSN
- 0031-3203 (ISSN-L)
- OpenAlex
- W2153366199
- Cited by
- 198
- References
- 2
- FWCI
- 12.02
- Type
- journal article
- Language
- en
- Open access
- closed
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- Li, S., Kwok, J. T., Zhu, H., & Wang, Y. (2003). Texture classification using the support vector machines. Pattern Recognition. https://doi.org/10.1016/s0031-3203(03)00219-x
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.
