Abstract | ||
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Neural independent component learning algorithms based on optimization on manifolds have attracted interest in the neural network community. In the past years, we have developed learning algorithms specialized for the orthogonal group of matrices as parameters manifold. Here, we sketch a view of these algorithms by the help of `retractions' on manifolds. |
Year | DOI | Venue |
---|---|---|
2007 | 10.1007/s11063-007-9037-x | Neural Processing Letters |
Keywords | Field | DocType |
Independent component analysis,Neural learning theory,Orthogonal group of matrices,Retractions on manifolds | Matrix (mathematics),Independent component analysis,Artificial intelligence,Orthogonal group,Artificial neural network,Machine learning,Mathematics,Manifold,Sketch | Journal |
Volume | Issue | ISSN |
25 | 3 | 1370-4621 |
Citations | PageRank | References |
4 | 0.50 | 13 |
Authors | ||
1 |
Name | Order | Citations | PageRank |
---|---|---|---|
Simone Fiori | 1 | 494 | 52.86 |