搜索结果: 1-14 共查到“Discriminant Analysis”相关记录14条 . 查询时间(0.062 秒)
Longitudinal Discriminant Analysis of Hemoglobin Level for Predicting Preeclampsia
Discriminant Analysis Preeclampsia Hemoglobin
2015/10/22
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...
Discriminant analysis of the speciality of elite cyclists
physiological characteristics cycling specialists discriminant analysis
2013/10/3
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...
Adaptive Discriminant Analysis for face recognition from Single Sample per Person
Adaptive Discriminant Single Sample
2013/7/24
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...
Pegnato revisited:using discriminant analysis to identify gifted children
Identification Giftedness Discriminant analysis
2009/12/29
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...
Study of age-related changes in postural control during quiet standing through Linear Discriminant Analysis
age-related changes postural control Linear Discriminant Analysis
2010/2/25
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...
Semi-Supervised Discriminant Analysis via Spectral Transduction
Semi-Supervised Discriminant Analysis via Spectral Transduction
2013/7/16
Linear Discriminant Analysis (LDA) is a popular method for dimensionality reduction and classification. 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 ...
Discriminant analysis indicates a single sperm protein(SP22)is predictive of fertility following exposure to epididymal toxicants
Epididymis biomarker
2009/2/17
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...
Real-Time image Annotation by Manifold-based Biased Fisher Discriminant Analysis
Real-Time image Annotation Manifold-based
2010/12/20
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...
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...
Discriminant Analysis for Perceptionally Comparable Classes
Discriminant Analysis Perceptionally Comparable Classes
2013/7/17
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...
Real-time image annotation by manifold-based biased Fisher discriminant analysis
Image Annotation Manifold Co-Training Fisher Discriminant Analysis Real-Time Annotation
2013/7/17
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...
Bagging Based Efficient Kernel Fisher Discriminant Analysis for Face Recognition
Discriminant Analysis Face Recognition
2010/12/16
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...