Charlotte Rosso
Computer Vision and Pattern Recognition · 2011
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 8 citations into it
- Radiology, Nuclear Medicine and Imaging — 7 citations into it
Whom Charlotte Rosso trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- John Ashburner
- Vladimir Naumovich Vapni
- Risi Kondor
- Christos Davatzikos
- Alex Smola
- John Shawe-Taylor
- Bernhard Schölkopf
- Jianbo Shi
- Stuart Geman
- Yoav Benjamini
Who trusts Charlotte Rosso overall
Papers from Charlotte Rosso's perspective
Ordered by how strongly the researchers Charlotte Rosso trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- The Nature of Statistical Learning Theory
- Normalized cuts and image segmentation
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Kernel Methods for Pattern Analysis
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning with Kernels
- Voxel-based morphometry--the methods.