Cargando...
Learning Kernels for variants of Normalized Cuts: Convex Relaxations and Applications
We propose a new algorithm for learning kernels for variants of the Normalized Cuts (NCuts) objective – i.e., given a set of training examples with known partitions, how should a basis set of similarity functions be combined to induce NCuts favorable distributions. Such a procedure facilitates desig...
Guardado en:
| Autores principales: | , , , |
|---|---|
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
2010
|
| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3063999/ https://ncbi.nlm.nih.gov/pubmed/21445225 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/CVPR.2010.5540076 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|