Name
Title | ||
|---|---|---|
Learning mixtures of smooth, nonuniform deformation models for probabilistic image matching. |
Abstract | ||
|---|---|---|
By representing images and image prototypes by linear subspacesspanned by \tangent vectors" (derivatives of an image with respectto translation, rotation, etc.), impressive invariance to known typesof uniform distortion can be built into feedforward discriminators.We describe a new probability model that can jointly cluster dataand learn mixtures of nonuniform, smooth deformation elds. Ourelds are based on low-frequency wavelets, so they use very fewparameters to model a wide... |
Year | Venue | Keywords |
|---|---|---|
2001 | AISTATS | low frequency |
Field | DocType | Citations |
Computer vision,Pattern recognition,Computer science,Image matching,Artificial intelligence,Probabilistic logic,Deformation (mechanics),Machine learning | Conference | 0 |
PageRank | References | Authors |
0.34 | 2 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nebojsa Jojic | 1 | 1397 | 165.68 |
| Brendan J. Frey | 2 | 3637 | 404.51 |
| Patrice Simard | 3 | 1268 | 621.43 |
| David Heckerman | 4 | 6951 | 1419.21 |