Robust Heteroscedastic Linear Discriminant Analysis and LCRC Posterior Features in Meeting Data Recognition.
Martin KarafiátFrantisek GrézlPetr SchwarzLukás BurgetJan CernockýPublished in: MLMI (2006)
Keyphrases
- linear discriminant analysis
- feature extraction
- data sets
- high dimensional data
- class discrimination
- discriminant analysis
- data analysis
- probability distribution
- feature analysis
- data points
- principal component analysis
- feature space
- original data
- discriminant features
- recognition accuracy
- training data
- dimensionality reduction
- face recognition
- dimension reduction
- feature set
- recognition algorithm
- multiple features
- discriminative information
- knn
- discriminant information
- machine learning