Name
Abstract | ||
|---|---|---|
We derive a new method of performing Canonical CorrelationAnalysis with Artificial Neural Networks. We demonstrate itscapability on a simple artificial data set and then on a real data setwhere the results are compared with those achieved with standard statisticaltools. We then extend the method to deal with a situation wherethere are two equal competing correlations within the datasets and showthat this extension is effective on the previous data sets. |
Year | Venue | Keywords |
|---|---|---|
1998 | ESANN | artificial neural network,canonical correlation analysis |
Field | DocType | Citations |
Pattern recognition,Canonical correlation,Computer science,Artificial intelligence,Artificial neural network | Conference | 14 |
PageRank | References | Authors |
5.06 | 0 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pei Ling Lai | 1 | 92 | 18.78 |
| Colin Fyfe | 2 | 508 | 55.62 |