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本程序用kpca，pls，svm来实现人脸识别，表情分辨效果明显，分辨率为百分之九十-This program with kpca, PLS, SVM to achieve face recognition, the facial expression distinguish effect is obvious, the resolution is ninety percent
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本程序用kpca，pls，svm来实现人脸识别，表情分辨效果明显，分辨率为百分之八十九-This program with kpca, PLS, SVM to achieve face recognition, the facial expression distinguish effect is obvious, the resolution is eighty-nine percent
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本程序用kpca，pls，svm来实现人脸识别，表情分辨效果明显，分辨率为百分之八十八-This program with kpca, PLS, SVM to achieve face recognition, the facial expression distinguish effect is obvious, the resolution is eighty-eight percent
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进行人脸识别，提取男女性别特征，年龄特征，并且运用了支持向量机的方法进行识别-For face recognition, extraction gender characteristics, age characteristics, and using support vector machine (SVM) method to recognize
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5-fold cross valication for Face recognition using PCA, SVM and KNN.
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人脸识别系统
PCA降维， SVM 分类， 40*10人脸数据库
对机器视觉 智能识别有帮助
-face recognition
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SVM分类器，可用于人脸识别，机器学习等。-Texture feature extraction, and classification, SVM classifier is.Can be used for face recognition, machine learning, etc.
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基于HMM和SVM分类器的人脸识别系统，非常强大-Face recognition using Hidden Markov Models (HMM) and SVM features for education and study.
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利用SVM和PCA结合的方法进行的人脸识别实验，希望对于初学模式识别的人有所帮助-Face recognition experiments using SVM and PCA methods, hoping to be helpful for beginner pattern recognition
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提出了一种基于DCT提取人脸特征技术和支持向量机分类模型的人脸识别方法。利用离
散余弦变换可提取人脸可识别的大部分信息,而支持向量机作为分类器,在处理小样本、高维数等
方面具有独特的优势,且泛化能力很强,无需先验知识。从ORL 人脸库上的实验结果可以看出,
DCT特征提取是很有效的,且SVM的分类性能优于最近邻分类器,同时提高了整个系统的运算速
度。-A face recognition method based on DCT for face feature extractio
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PCA+SVM用于人脸识别，，很好用，，有详细注释-PCA+SVM for face recognition, and useful, detailed notes
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使用pca+svm进行人脸识别的代码，很详细-detailed code for face recognition using pca+svm
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Face recognition in a fuzzy method. Contains SVM, LDA, decision tree and so on, the effect is very good, worthy of reference.
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Face recognition in a fuzzy method. Contains SVM, LDA, decision tree and so on, the effect is very good, worthy of reference.
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Face recognition in a fuzzy method. Contains SVM, LDA, decision tree and so on, the effect is very good, worthy of reference.
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Face recognition in a fuzzy method. Contains SVM, LDA, decision tree and so on, the effect is very good, worthy of reference.
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一种简单的人脸识别算法，基于svm与5倍交叉训练法和三种核函数选择的比较-A simple face recognition algorithm based on svm comparison with 5-fold cross-training method and choice of three core functions
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一个完整的人脸识别算法实验，快速pca+svm算法，里面还带有orl人脸数据库，并且代码还有相应注释，大小有几十m，是一个很好的人脸实验-A complete face recognition algorithm experiments, fast pca+svm algorithm, which also comes with orl face database, and the code as well as the corresponding notes, there are dozens
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HoG SVm 的人脸识别方法， 做人脸识别的同学，可以研究一下-Face recognition method of HoG SVm, to do face recognition of students, you can look at
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基于PCA和SVM的人脸识别系统主程序 -Based on PCA and SVM for face recognition system main
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