Ryutaro Tateishi
with Johnson · 2012
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Ryutaro Tateishi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Ryutaro Tateishi's perspective
Ordered by how strongly the researchers Ryutaro Tateishi trusts endorse each paper. Same corpus, a different order for every researcher.
- A kernel functions analysis for support vector machines for land cover classification (International Journal of Applied Earth Observation and Geoinformation)
- A Tutorial on Support Vector Machines for Pattern Recognition
- Support vector machines in remote sensing: A review
- A relative evaluation of multiclass image classification by support vector machines (IEEE Transactions on Geoscience and Remote Sensing)
- An assessment of the effectiveness of decision tree methods for land cover classification
- The Nature of Statistical Learning Theory
- Random Forests
- An introduction to kernel-based learning algorithms
- Toward an Optimal SVM Classification System for Hyperspectral Remote Sensing Images (IEEE Transactions on Geoscience and Remote Sensing)
- Support vector machines for hyperspectral image classification with spectral-based kernels (IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477))
Their papers
- Using geographically weighted variables for image classification (2012) — 89 citations