NECO
2000
13 years 11 months ago
2000
We present a new method that we call Generalized Discriminant Analysis (GDA) to deal with nonlinear discriminant analysis using kernel function operator. The underlying theory is ...
CVIU
2007
13 years 11 months ago
2007
Multi-view face detection plays an important role in many applications. This paper presents a statistical learning method to extract features and construct classifiers for multi-...
IJCSS
2000
13 years 11 months ago
2000
This paper uses
CSDA
2004
13 years 11 months ago
2004
The goal of discriminant analysis is to obtain rules that describe the separation between groups of observations. Moreover it allows to classify new observations into one of the k...
TKDE
2008
13 years 11 months ago
2008
Linear Discriminant Analysis (LDA) has been a popular method for extracting features that preserves class separability. The projection functions of LDA are commonly obtained by max...
TKDE
2008
13 years 11 months ago
2008
Linear and kernel discriminant analyses are popular approaches for supervised dimensionality reduction. Uncorrelated and regularized discriminant analyses have been proposed to ove...
BIOINFORMATICS
2005
13 years 11 months ago
2005
In genomic studies, thousands of features are collected on relatively few samples. One of the goals of these studies is to build classifiers to predict the outcome of future obser...
PR
2008
13 years 11 months ago
2008
It is generally believed that quadratic discriminant analysis (QDA) can better fit the data in practical pattern recognition applications compared to linear discriminant analysis ...
PR
2008
13 years 11 months ago
2008
In this paper, we make a study on three Linear Discriminant Analysis (LDA) based methods: Regularized Discriminant Analysis (RDA), Discriminant Common Vectors (DCV) and Maximal Ma...
PAA
2008
13 years 11 months ago
2008
This paper analyzes the application of Moran's index and Geary's coefficient to the characterization of lung nodules as malignant or benign in computerized tomography ima...