منابع مشابه
Robust linear discriminant analysis using S-estimators
The authors consider a robust linear discriminant function based on high breakdown location and covariance matrix estimators. They derive influence functions for the estimators of the parameters of the discriminant function and for the associated classification error. The most B-robust estimator is determined within the class of multivariate S-estimators. This estimator, which minimizes the max...
متن کاملRobust Linear Discriminant Trees
We present a new method for the induction of classiication trees with linear dis-criminants as the partitioning function at each internal node. This paper presents two main contributions: rst, a novel objective function called soft entropy which is used to identify optimal coeecients for the linear discriminants, and second, a novel method for removing outliers called iterative re-ltering which...
متن کاملPhD Thesis Incremental, Robust, and Efficient Linear Discriminant Analysis Learning
This thesis is focused on Linear Discriminant Analysis (LDA), which is a subspace learning method. LDA is employed for appearance-based object classification. The standard LDA needs all training data to be given in advance in order to construct the subspace. This type of learning is termed batch learning. But in general, not all data is available at the same time. In order to avoid storing the ...
متن کاملRobust Feature-Sample Linear Discriminant Analysis for Brain Disorders Diagnosis
A wide spectrum of discriminative methods is increasingly used in diverse applications for classification or regression tasks. However, many existing discriminative methods assume that the input data is nearly noise-free, which limits their applications to solve real-world problems. Particularly for disease diagnosis, the data acquired by the neuroimaging devices are always prone to different s...
متن کاملComparative Performance of Several Robust Linear Discriminant Analysis Methods
• The problem of the non-robustness of the classical estimates in the setting of the quadratic and linear discriminant analysis has been addressed by many authors: Todorov et al. [19, 20], Chork and Rousseeuw [1], Hawkins and McLachlan [4], He and Fung [5], Croux and Dehon [2], Hubert and Van Driessen [6]. To obtain high breakdown these methods are based on high breakdown point estimators of lo...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Mathematics and Statistics
سال: 2016
ISSN: 1549-3644
DOI: 10.3844/jmssp.2016.312.316