Description: 自己编的特征选择程序，分别包括用顺序前进法(SFS),顺序后退法(SBS),增l 减r 法(l–r)、SFFS法进行选择的程序-own addendum to the feature selection procedures, including the use of sequential forward (SFS). back order (SBS), by reducing r l (l-r), SFFS method to choose the procedure Platform: |
Size: 4680 |
Author:夏玉 |
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Description: 自己编的特征选择程序，分别包括用顺序前进法(SFS),顺序后退法(SBS),增l 减r 法(l–r)、SFFS法进行选择的程序-own addendum to the feature selection procedures, including the use of sequential forward (SFS). back order (SBS), by reducing r l (l-r), SFFS method to choose the procedure Platform: |
Size: 4096 |
Author:夏玉 |
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Description: 自己编的matlab程序。用于模式识别中特征的提取。是特征提取中的Sequential Forward Selection方法，简称sfs.它可以结合Maximum-Likelihood-Classifier分类器进行使用。-The matlab own procedures. For Pattern Recognition Feature Extraction. Feature Extraction is the Sequential Forward Selection method, referred to as sfs. It can be combined with Maximum-Likelihood-Classifier classifier used. Platform: |
Size: 1024 |
Author:limingxian |
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Description: 在图 像 拼 接中通常使用模板匹配方法进行图像配准，模板特征选取、基准模板位
置与大小选取，在很大程度上影响图像配准的准确度和速度。基于模板匹配的原理，文中提出了两种新的彩色图像自动拼接方法,基于三基色原理的平行线寻优法和十字交叉特征寻优法-In the image mosaic is usually carried out using a template matching method image registration, the template feature selection, location and size of the baseline template to select, to a large extent the impact of image registration accuracy and speed. Based on template matching principle, the text put forward two new color image automatic splicing method, based on the trichromatic principle of optimization of parallel lines and the characteristics of cross-optimizing method Platform: |
Size: 2954240 |
Author:黄清平 |
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Description: 完整的表情识别系统一般包括人脸表情图像捕获、预处理、人脸检测与定位、
人脸分割与归一化、人脸表情特征提取、人脸表情识别。本文着重研究了人脸表
情特征提取、特征选择及表情分类等关键问题，并提出了一些改进的方法，同时
进行了仿真实验-Complete expression recognition systems typically include facial expression image capture, preprocessing, face detection and location, face segmentation and normalization, facial expression feature extraction, facial expression recognition. Paper focuses on the facial expression feature extraction, feature selection and classification of facial expressions and other key issues and put forward a number of improved methods, and simulation experiment Platform: |
Size: 1054720 |
Author:KW |
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Description: Feature Selection using Matlab.
The DEMO includes 5 feature selection algorithms:
• Sequential Forward Selection (SFS)
• Sequential Floating Forward Selection (SFFS)
• Sequential Backward Selection (SBS)
• Sequential Floating Backward Selection (SFBS)
• ReliefF
Two CCR estimation methods:
• Cross-validation
• Resubstitution
After selecting the best feature subset, the classifier obtained can be used for classifying any pattern.
Figure: Upper panel is the pattern x feature matrix
Lower panel left are the features selected
Lower panel right is the CCR curve during feature selection steps
Right panel is the classification results of some patterns.
This software was developed using Matlab 7.5 and Windows XP.
Copyright: D. Ververidis and C.Kotropoulos
AIIA Lab, Thessaloniki, Greece,
jimver@aiia.csd.auth.gr
costas@aiia.csd.auth.gr-Feature Selection using Matlab.
The DEMO includes 5 feature selection algorithms:
• Sequential Forward Selection (SFS)
• Sequential Floating Forward Selection (SFFS)
• Sequential Backward Selection (SBS)
• Sequential Floating Backward Selection (SFBS)
• ReliefF
Two CCR estimation methods:
• Cross-validation
• Resubstitution
After selecting the best feature subset, the classifier obtained can be used for classifying any pattern.
Figure: Upper panel is the pattern x feature matrix
Lower panel left are the features selected
Lower panel right is the CCR curve during feature selection steps
Right panel is the classification results of some patterns.
This software was developed using Matlab 7.5 and Windows XP.
Copyright: D. Ververidis and C.Kotropoulos
AIIA Lab, Thessaloniki, Greece,
jimver@aiia.csd.auth.gr
costas@aiia.csd.auth.gr Platform: |
Size: 3283968 |
Author:driftinwind |
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Description: 自己编的特征选择程序，分别包括用顺序前进法(SFS),顺序后退法(SBS),增l 减r 法(l–r)、SFFS法进行选择的程序-own addendum to the feature selection procedures, including the use of sequential forward (SFS). back order (SBS), by reducing r l (l-r), SFFS method to choose the procedure Platform: |
Size: 5120 |
Author:Thegr |
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Description: 选择合适的样本特征点，然后可以将特征导入svm进行分类(After the image processing, the main information is obtained by PCA transform, and then the feature of texture information selection is put forward) Platform: |
Size: 35050496 |
Author:三千世界
|
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Description: 随着全球的商业竞争愈来愈激烈，客户流失预测已经成为客户关系管理中非常重要的内容。预测即将流失的客户，并制定相应的措施挽留客户已经成为促进企业发展的关键性因素。本文从对电信和信用卡客户的行为数据分析入手，针对其中的冗余特征和正负类样本不均衡等特点，提出一种新的特征选择算法和非均衡数据处理算法，以此建立一种新的客户流失预测模型。(Along with the global business more competitive, customer churn prediction has become the most important content in customer relationship management. Predicting customer retention and formulating corresponding customer churn strategies has become a key factor in promoting enterprise development. Based on the analysis of customer behavior data, aiming at the redundant features and unbalanced positive and negative samples in customer data, this paper puts forward a new feature selection algorithm and unbalanced data processing algorithm, respectively, to establish a new customer churn prediction model.) Platform: |
Size: 1071104 |
Author:hellation |
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Search - forward feature selection