Hongtao Chen
Computer Vision and Pattern Recognition · with Chai · 2014
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 14 citations into it
Whom Hongtao Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Hongtao Chen overall
Papers from Hongtao Chen's perspective
Ordered by how strongly the researchers Hongtao Chen trusts endorse each paper. Same corpus, a different order for every researcher.
- Multiple-Instance Learning of Real-Valued Data
- Nonlinear Programming
- Variable kernel density estimation
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- The Nature of Statistical Learning Theory
Their papers
- Multiple-instance discriminant analysis (2014) — 8 citations
- Maximum margin multiple-instance feature weighting (2014) — 14 citations