Marie Ouimet
Computer Vision and Pattern Recognition · 2003–2004
A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 10 citations into it; #17,942 of 21,575 by trust here, #10,677 by citations
- Representation & Self-Supervised Learning — 10 citations into it
Whom Marie Ouimet trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Marie Ouimet overall
Papers from Marie Ouimet's perspective
Ordered by how strongly the researchers Marie Ouimet trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Normalized cuts and image segmentation
- ImageNet classification with deep convolutional neural networks
- Nonlinear dimensionality reduction by locally linear embedding.
- Gradient-based learning applied to document recognition
- A global geometric framework for nonlinear dimensionality reduction.
- On Spectral Clustering: Analysis and an algorithm
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Using the Nyström Method to Speed Up Kernel Machines
Their papers
- Learning Eigenfunctions Links Spectral Embedding and Kernel PCA (2004) — 342 citations
- Out-of-Sample Extensions for LLE, Isomap, MDS, Eigenmaps, and Spectral Clustering (2003) — 1,157 citations