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cs.LG2018
Geometry and clustering with metrics derived from separable Bregman divergences
Erika Gomes-Gonçalves, Henryk Gzyl, Frank Nielsen
Separable Bregman divergences induce Riemannian metric spaces that are isometric to the Euclidean space after monotone embeddings. We investigate fixed rate quantization and its co…
cs.LG2007
Filtering Additive Measurement Noise with Maximum Entropy in the Mean
Henryk Gzyl, Enrique ter Horst
The purpose of this note is to show how the method of maximum entropy in the mean (MEM) may be used to improve parametric estimation when the measurements are corrupted by large le…