Skip to search formSkip to main contentSkip to account menu

Linear discriminant analysis

Known as: Fisher discriminant analysis, Fisher linear discriminant, Multiclass LDA 
Linear discriminant analysis (LDA) is a generalization of Fisher's linear discriminant, a method used in statistics, pattern recognition and machine… 
Wikipedia (opens in a new tab)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2014
Highly Cited
2014
Most pedestrian detection approaches that achieve high accuracy and precision rate and that can be used for realtime applications… 
2004
2004
In this paper, a two group linear discriminant function (LDF) is derived by minimizing Gini's transvariation probability. This… 
Highly Cited
2000
Highly Cited
2000
This paper presents a word level confidence scoring technique based on a combination of multiple features extracted from the… 
1998
1998
This paper investigates the use of Fisher-Rao (1965) linear discriminant analysis (LDA) as a means of visual feature extraction… 
Highly Cited
1995
Highly Cited
1995
A number of recent studies have compared the performance of neural networks (NNs) to a variety of statistical techniques for the… 
Highly Cited
1995
Highly Cited
1995
The generalization of linear classifiers is considered for training sample sizes smaller than the feature size. It is shown that… 
Review
1986
Review
1986
Extensive literature review and 48 mammal collections containing recent speciments of the endangered black-footed ferret ( Musela… 
Highly Cited
1969
Highly Cited
1969
This study was initiated to determine changes in chemical composition, coefficient of condition, and body morphology for juvenile…