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Discriminant Analysis
Discriminant analysis is a multivariate procedure for the analysis of group differences. It allows examining the difference between two or more...
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Recursive universum linear discriminant analysis
Universum linear discriminant analysis was recently proposed to improve linear discriminant analysis by incorporating Universum information. However,...
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Fisher Discriminant Analysis
Fisher Discriminant Analysis (FDA) attempts to find a subspace that separates the classes as much as possible, while the data also become as spread...
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Misclassification analysis of discriminant model
This paper extends the criterion of the misclassification ratio of discriminant model and presents a new selection method of discriminant model. For...
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Structured Nonlinear Discriminant Analysis
Many traditional machine learning and pattern recognition algorithms—as for example linear discriminant analysis (LDA) or principal component...
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Multiclass Sparse Discriminant Analysis Incorporating Graphical Structure Among Predictors
In the era of big data, many sparse linear discriminant analysis methods have been proposed for classification and variable selection of the...
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Polynomial linear discriminant analysis
The traditional linear discriminant analysis (LDA) is a classical dimensionality reduction method. But there are two problems with LDA. One is the...
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Joint Spectral Regression Methods for Large-Scale Discriminant Analysis
Spectral regression discriminant analysis (SRDA) is one of the most popular methods for large-scale discriminant analysis. It is a stepwise algorithm...
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Sparse overlapped linear discriminant analysis
High-dimensional binary discriminant analysis received most of the attention in the last years compared to the multi-class discriminant analysis. The...
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Semi-supervised Kernel Fisher discriminant analysis based on exponential-adjusted geometric distance
Fisher discriminant analysis (FDA) is a widely used dimensionality reduction tool in pattern recognition. However, FDA cannot obtain an optimal...
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Double-constrained structured discriminant analysis-synthesis dictionary pair learning for pattern classification
Existing discriminant analysis-synthesis dictionary pair learning (ASDPL) methods learn a structured analysis dictionary containing multiple...
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Capped norm linear discriminant analysis and its applications
Classical linear discriminant analysis (LDA) is based on squared Frobenious norm and hence is sensitive to outliers and noise. To improve the...
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Tensor discriminant analysis on grassmann manifold with application to video based human action recognition
Representing videos as linear subspaces on Grassmann manifolds has made great strides in action recognition problems. Recent studies have explored...
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Self-eliminating Discriminant Analysis Dictionary Learning for Pattern Classification
As a branch of dictionary learning (DL), analysis dictionary learning has been widely used for pattern classification, which achieves outstanding...
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Damage identification of Old ADA steel bridge using discriminant analysis of factor analysis loadings
The present research devised a cluster-based discriminant analysis of factor analysis loadings and aimed at disseminating and popularizing it in...
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Class-structure preserving multi-view correlated discriminant analysis for multiblock data
With the rapid development in data acquisition methods, multiple data sources are now becoming available to explain different views of an object....
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Class specific nullspace marginal discriminant analysis with overfitting-prevention kernel estimation for hand trajectory recognitions
Hand trajectories are widely used for gesture recognition, action analysis, and sign language translation. Effective hand trajectory feature...
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Multiparametric Analysis of Dysphonic Voice – An Evidence from the Discriminant Analysis
Even though earlier studies have investigated the relationship between various subjective and instrumental measures of voice, determining a...