Juri Ranieri
IEEE Signal Processing Magazine · 2015
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Juri Ranieri trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Juri Ranieri's perspective
Ordered by how strongly the researchers Juri Ranieri trusts endorse each paper. Same corpus, a different order for every researcher.
- A global geometric framework for nonlinear dimensionality reduction.
- Matrix completion from a few entries
- Modern Multidimensional Scaling: Theory and Applications
- Unsupervised Learning of Image Manifolds by Semidefinite Programming (Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004.)
- Multidimensional scaling: I. Theory and method
- Euclidean Distance Geometry
- Convex Optimization & Euclidean Distance Geometry
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Euclidean Distance Matrices: Essential theory, algorithms, and applications (2015) — 580 citations