Baofeng Guo
IEEE Geoscience and Remote Sensing Letters · 2006
A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Whom Baofeng Guo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Baofeng Guo overall
Papers from Baofeng Guo's perspective
Ordered by how strongly the researchers Baofeng Guo trusts endorse each paper. Same corpus, a different order for every researcher.
- Classification of hyperspectral remote sensing images with support vector machines (IEEE Transactions on Geoscience and Remote Sensing)
- A new search algorithm for feature selection in hyperspectral remote sensing images (IEEE Transactions on Geoscience and Remote Sensing)
- Support-Vector Networks
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Statistical Learning Theory
- Going deeper with convolutions
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
- Statistical learning theory
- A training algorithm for optimal margin classifiers
Their papers
- Band Selection for Hyperspectral Image Classification Using Mutual Information (2006) — 402 citations