Skip to search formSkip to main content
You are currently offline. Some features of the site may not work correctly.

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… Expand
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2007
Highly Cited
2007
  • S. Prince, J. Elder
  • IEEE 11th International Conference on Computer…
  • 2007
  • Corpus ID: 4253493
Many current face recognition algorithms perform badly when the lighting or pose of the probe and gallery images differ. In this… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • table 1
Highly Cited
2007
Highly Cited
2007
Linear Discriminant Analysis (LDA) has been a popular method for extracting features which preserve class separability. The… Expand
  • figure 1
  • table 1
  • figure 2
Highly Cited
2006
Highly Cited
2006
Linear dimensionality reduction methods, such as LDA, are often used in object recognition for feature extraction, but do not… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Highly Cited
2005
Highly Cited
2005
This paper proposes an innovative algorithm named 2D-LDA, which directly extracts the proper features from image matrices based… Expand
  • figure 1
  • figure 2
  • table 1
  • figure 3
Highly Cited
2004
Highly Cited
2004
Linear Discriminant Analysis (LDA) is a well-known scheme for feature extraction and dimension reduction. It has been used widely… Expand
  • table 1
  • figure 1
  • table 2
  • figure 2
Highly Cited
1999
Highly Cited
1999
A non-linear classification technique based on Fisher's discriminant is proposed. The main ingredient is the kernel trick which… Expand
  • figure 1
  • table 1
Highly Cited
1996
Highly Cited
1996
Fisher-Rao linear discriminant analysis (LDA) is a valuable tool for multigroup classification. LDA is equivalent to maximum… Expand
  • figure 1
Highly Cited
1996
Highly Cited
1996
  • D. Swets, J. Weng
  • IEEE Trans. Pattern Anal. Mach. Intell.
  • 1996
  • Corpus ID: 10952196
This paper describes the automatic selection of features from an image training set using the theories of multidimensional… Expand
Highly Cited
1995
Highly Cited
1995
Fisher's linear discriminant analysis (LDA) is a popular data-analytic tool for studying the relationship between a set of… Expand
  • figure 6
Highly Cited
1969
Highly Cited
1969
With the availability of “canned” computer programs, it is extremely easy to run complex multivariate statistical analyses… Expand