Name
Title | ||
|---|---|---|
Estimation of Gaussian Mixture Models via Tensor Moments with Application to Online Learning |
Abstract | ||
|---|---|---|
•Moment matching to estimate GMM is considered as a constrained optimisation problem.•The AGD algorithm is used to solve the moment matching optimisation problem.•Our algorithm empirically outperforms EM and VB in converging to correct solutions.•An online version of the algorithm is presented which outperforms IGMM. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.patrec.2020.01.001 | Pattern Recognition Letters |
Keywords | DocType | Volume |
Method of moments,Alternating gradient descent,Online learning,Tensor analysis | Journal | 131 |
ISSN | Citations | PageRank |
0167-8655 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Donya Rahmani | 1 | 0 | 0.34 |
| Mahesan Niranjan | 2 | 775 | 120.43 |
| Damien Fay | 3 | 0 | 0.34 |
| Akiko Takeda | 4 | 196 | 29.72 |
| Jacek Brodzki | 5 | 0 | 0.68 |