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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...
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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2010
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| Assuntos: | |
| Acesso em linha: | 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 |
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