Results 271 to 280 of about 111,184 (298)

Bayes Optimality in Linear Discriminant Analysis

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2008
We present an algorithm which provides the one-dimensional subspace where the Bayes error is minimized for the C class problem with homoscedastic Gaussian distributions. Our main result shows that the set of possible one-dimensional spaces v, for which the order of the projected class means is identical, defines a convex region with associated convex ...
Onur C. Hamsici, Aleix M. Martínez
openaire   +2 more sources

A comment on “Laplacian linear discriminant analysis”

Pattern Recognition, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Probabilistic Linear Discriminant Analysis

2006
Linear dimensionality reduction methods, such as LDA, are often used in object recognition for feature extraction, but do not address the problem of how to use these features for recognition. In this paper, we propose Probabilistic LDA, a generative probability model with which we can both extract the features and combine them for recognition.
openaire   +1 more source

Polynomial linear discriminant analysis

The Journal of Supercomputing, 2023
Ruisheng Ran, Ting Wang 0040, Zheng Li, Bin Fang 0001   +3 more
openaire   +1 more source

Linear discriminant analysis and discriminative log-linear modeling

Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004., 2004
Daniel Keysers, Hermann Ney
openaire   +1 more source

ASSUMPTIONS IN LINEAR DISCRIMINANT ANALYSIS

The Lancet, 1971
P, Winkel, E, Juhl
openaire   +2 more sources

Linear Discriminant Analysis

2018
Linear discriminant analysis (LDA) is most commonly used as a dimensionality reduction technique in the pre-processing step for pattern classification and machine learning applications. In contrast to principal component analysis (PCA), LDA is “supervised” and computes the directions or linear discriminants that will represent the axes that maximize ...
openaire   +2 more sources

Robust L1-norm two-dimensional linear discriminant analysis

Neural Networks, 2015
Chun-Na Li, Yuan-Hai Shao
exaly  

Comparison of regularized discriminant analysis linear discriminant analysis and quadratic discriminant analysis applied to NIR data

Analytica Chimica Acta, 1996
B Walczak, F Erni
exaly  

Linear vs. quadratic discriminant analysis classifier: a tutorial

International Journal of Applied Pattern Recognition, 2016
Alaa Tharwat
exaly