Estimation of Conditional Distributions using Gaussian Mixture Models
| Type of publication: | Idiap-RR |
| Citation: | gilardi-rr-02-03 |
| Number: | Idiap-RR-03-2002 |
| Year: | 2002 |
| Institution: | IDIAP |
| Note: | Submitted to ICANN 2002 |
| Abstract: | This paper proposes the use of Gaussian Mixture Models to estimate conditional probability density functions. A conditional Gaussian Mixture Model has been compared to the geostatistical method of Sequential Gaussian Simulations. The data set used is a part of the digital elevation model of Switzerland. |
| Userfields: | ipdmembership={learning}, |
| Keywords: | |
| Projects: |
Idiap |
| Authors: | |
| Added by: | [UNK] |
| Total mark: | 0 |
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