Wenhua Wang
Computer Vision and Pattern Recognition · with Nie · 2010
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 11 citations into it
- Artificial Intelligence — 5 citations into it
Whom Wenhua Wang trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Bernhard Schölkopf (in Computer Vision and Pattern Recognition)
Papers from Wenhua Wang's perspective
Ordered by how strongly the researchers Wenhua Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- A global geometric framework for nonlinear dimensionality reduction.
- Out-of-Sample Extensions for LLE, Isomap, MDS, Eigenmaps, and Spectral Clustering
- Global Versus Local Methods in Nonlinear Dimensionality Reduction
- A kernel view of the dimensionality reduction of manifolds (International Conference on Machine Learning)
- Locality Preserving Projections
- Graph embedding: a general framework for dimensionality reduction (Computer Vision and Pattern Recognition)
- A Local Learning Approach for Clustering (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)