High breakdown mixture discriminant analysis

By Shaheena Bashir, E. M. Carter. 2005

60 citations recorded by the source corpus.

Subfields: Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/18048b65f1fbed9d1a26fb50752b71f21989e505

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Statistics and Probability

1. Stéphane Girard
2. Mathieu Marmion
3. Charles Bouveyron
4. Miska Luoto
5. Wilfried Thuiller
6. Risto Heikkinen
7. Laurent Gardes
8. Armelle Guillou

Citations in the corpus

• Robust supervised classification with mixture models: Learning from data with uncertain labels (2009, background): “Bashir et al. [2] focused on robust estimation of the model parameters in the mixture model context.”
• The performance of state-of-the-art modelling techniques depends on geographical distribution of species. (2009, background): “An independent observation was then classified into the class, maximizing its probability to belong to this particular class among the other ones (Ju et al., 2003; Bashir and Carter, 2005).”