Discriminant analysis and secondary-beam charge recognition

Discriminant Analysis and Secondary-Beam Charge Recognition

The discriminant-analysis method has been applied to optimize the exotic-beam charge recognition in a projectile fragmentation experiment. The experiment was carried out at the GSI using the fragment separator (FRS) to produce and select the relativistic secondary beams, and the ALADIN setup to measure their fragmentation products following collisions with Sn target nuclei. The beams of neutron...

Discriminant Analysis and Secondary Beam Charge Recognition

Discriminant analysis (DA) is a statistical technique for predicting a class membership for a set of vectors of observations, based on a set of variables known as predictors. The model is built on a set of observations for which the classes are known (a training set). For the training set, DA searches for a transform, or a reference frame, which makes the classes most distinct, i.e. which maxim...

Face Recognition by Cognitive Discriminant Features

Face recognition is still an active pattern analysis topic. Faces have already been treated as objects or textures, but human face recognition system takes a different approach in face recognition. People refer to faces by their most discriminant features. People usually describe faces in sentences like ``She's snub-nosed'' or ``he's got long nose'' or ``he's got round eyes'' and so like. These...

Nonlinear discriminant analysis for improved speech recognition

Regularized discriminant analysis for face recognition

This paper studies Regularized Discriminant Analysis (RDA) in the context of face recognition. We check RDA sensitivity to different photometric preprocessing methods and compare its performance to other classifiers. Our study shows that RDA is better able to extract the relevant discriminatory information from training data than the other classifiers tested, thus obtaining a lower error rate. ...