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Background: Preeclampsia is one of the most serious complications during pregnancy with important effects on health of mother and fetus that causes maternal and fetal morbidity and mortality. This stu...
The different demands of competition coupled with the morphological and physiological characteristics of cyclists have led to the appearance of cycling specialities. The aims of this study were to det...
Discriminant analysis, especially Fisherface and its numerous variants, have achieved great success in face recognition. However, these methods fail to work for face recognition from Single Sample per...
The purpose of this paper is to provide an overview of discriminant analysis and an illustrative example of how this powerful technique can maximize the effectiveness and efficiency (Pegnato and Birch...
These results show that the analysis of features computed from the displacement of the COP are of great importance in studies trying to understand the ageing process. In particular, the LDA-value show...
Linear Discriminant Analysis (LDA) is a popular method for dimensionality reduction and classication. In real-world applications when there is no sufficient labeled data, LDA suffers fro...
This paper presents a novel discriminative learning method, called Manifold Discriminant Analysis (MDA), to solve the problem of image set classification. By modeling each image set as a manifold, we ...
In a previous study, we found that ethane dimethanesulphonate (EDS) compromised the fertilizing ability of proximal cauda epididymal sperm from the rat within 4 days of exposure, an effect that pers...
Automatic Linguistic Annotation is a promising solution to bridge the semantic gap in content-based image retrieval.However, two crucial issues are not well addressed in state-of-art annotation algori...
Parzen Discriminant Analysis     Parzen Discriminant  Analysis       2013/7/17
In this paper, we propose a non-parametric Discriminant Analysis method (no assumption on the distributions of classes), called Parzen Discriminant Analysis (PDA). Through a deep investigation on then...
Traditional discriminate analysis treats all the involved classes equally in the computation of the between-class scatter matrix. However, we find that for many vision tasks, the classes to be p...
Automatic Linguistic Annotation is a promising solution to bridge the semantic gap in content-based image retrieval. However, two crucial issues are not well addressed in state-of-art annotation algor...
In this paper, we use the generalized influence function and generalized Cook statistic to study the local influence of small perturbation in discriminant analysis. We give the perturbation theory abo...
Kernel Fisher Discriminant Analysis (KFDA) has achieved great success in pattern recognition recently.However, the training process of KFDA is too time consuming (even intractable) for a large trainin...

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