Name
Title | ||
|---|---|---|
Semi-supervised Regression using Hessian energy with an application to semi-supervised dimensionality reduction. |
Year | Venue | Field |
|---|---|---|
2009 | NIPS | Laplacian matrix,Feature vector,Mathematical optimization,Embedding,Dimensionality reduction,Hessian matrix,Submanifold,Artificial intelligence,Geodesic,Manifold,Machine learning,Mathematics |
DocType | Citations | PageRank |
Conference | 40 | 1.25 |
References | Authors | |
6 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kwang In Kim | 1 | 1625 | 78.90 |
| Florian Steinke | 2 | 269 | 19.19 |
| Matthias Hein | 3 | 663 | 62.80 |