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Unsupervised Learning of Overlapping Image Components Using Divisive Input Modulation
This paper demonstrates that nonnegative matrix factorisation is mathematically related to a class of neural networks that employ negative feedback as a mechanism of competition. This observation inspires a novel learning algorithm which we call Divisive Input Modulation (DIM). The proposed algorith...
| Autores principales: | , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi Publishing Corporation
2009
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2677748/ https://www.ncbi.nlm.nih.gov/pubmed/19424442 http://dx.doi.org/10.1155/2009/381457 |