Neonatal pain detection using face classification techniques;
新生儿的痛苦察觉使用表面分类技术；
A method for human face classification and recognition is proposed in this paper.
文中提出一种人脸分类及识别方法。
Let the nature data structures as inputting for the classifier of the face classification.
最后将降维后的数据作为分类器的输入进行人脸分类识别。
Face recognition normally be regarded as have three processes that are face detection, features extraction and pattern classification.
人脸识别一般分为人脸检测、特征抽取和模式分类三个部分。
By training and check up of the stylebook, it's satisfying to predict the rock masses classification in front of the tunnel face.
通过对样本库的训练检验，对掌子面前方围岩类别预报取得了满意的效果。
Then, the classification abilities of different local positions in the face were evaluated, and feature points were chosen at the positions with the strongest discriminating power.
然后对人脸不同局部位置处采样点的分类能力进行评价，选择分类能力最强的位置提取特征点。
The experimental results show that, the algorithm can be run well on face image classification and recognition comparing with other algorithms.
实验结果表明，与其它算法比较，此算法能够对人脸图像进行良好的分类识别。
In addition, whether face detection and classification, if a better face feature data are selected and effective method of face feature extraction is a prerequisite to ensure good results.
另外，不管是人脸检测与分类，若有较好的人脸特征数据，即选取有效的人脸特征提取方法，是保证效果良好的前提。
Face recognition includes three parts: face detection and localization, feature extraction and classification.
人脸识别主要包括三方面的内容：人脸检测与定位，特征提取，分类与识别。
A CEDT opportunities and support vector machine classification and face recognition.
提出了一种机遇CEDT和支持向量机的人脸分类和识别方法。
In this thesis, to establish their own sample libraries on the basis of my face, the face image to a support vector machine classification experiments.
本文在自己建立小样本人脸库的基础上，对人脸图像进行了支持向量机分类识别的实验。
A facial expression recognition system contains face detection, face feature extraction, feature selection and expression classification.
表情识别系统包括人脸检测、人脸特征提取、特征选择以及表情分类等几部分。
Recent years, support vector machine has obtained great success in the fields of handwriting identification, human face identification, text classification and so on.
近年来，支持向量机在手写体识别、人脸识别、文本分类等领域取得了很大的成功。
Although text classification with Bayesian classifier is simpler, intuitionistic and stable in performance, they still face with some significant problems in some complex text classification tasks.
基于贝叶斯模型的文档分类具有简单、直观、性能稳定的优点，但面对复杂的文档分类问题，仍然存在许多急待解决的问题。
The result of the experiment on ORL face images indicates that the proposed method has good classification performance.
在ORL人脸库上的实验结果表明，该算法能够取得较好的分类效果。
Firstly KPCA is used to extract the features of human face image, and then SVM combined with the nearest distance rule is used for classification, which depends on the kernel principal components.
该方法首先利用核主元分析对人脸图像进行特征提取，然后依据支持向量机与最近邻准则对所提取的核主元特征进行分类识别。
Using this model, together with some necessary post-process work, it can synthesize smooth, realistic face speech animation independent of classification of language only with speech signal.
使用该模型，加上一些必要的后期处理工作，就可以通过输入的语音信号合成语种无关的、平滑的、并富有真实感的人脸语音动画。
The experimental results on ORL face database show that the method proposed has very good classification capability and high recognition rate.
在ORL标准人脸库及现实人脸图像上的实验结果表明该方法具有很好的鉴别分析能力。
Then hierachical face recognition with the ability of rejection for non-target and classification for target is proposed.
在此基础上，提出了超球投影嵌入支持向量鉴别分析特征降维算法，分层次人脸拒识分类算法。
Feature extraction is the key to face recognition. An effective feature extraction method not only helps to simplify the classification of follow-up design, but also can enhance the recognition rate.
这里特征提取是人脸识别的关键环节，有效的人脸特征提取方法不仅有助于简化后续的分类器设计，而且能够提高识别率。
Because of its excellent learning ability, SVM has been applied to such fields as Text Classification, Face Recognition, and Figure Recognition.
由于其出色的学习和推广性能，支持向量机已经被应用到许多方面，例如：文本分类、人脸识别、指纹识别等等。
ORL face image database, a total of 40 per 10 images, each of which the first five as training samples, after the 5 categories as a test sample, correct classification rate statistics.
OR L人脸图像库，共40人，每人10幅图像，其中每人的前5幅作为训练样本，后5幅作为测试分类样本，统计正确分类率。
The experimental results show that this algorithm is able to face a good image classification and recognition, especially in the case of small samples.
实验结果表明，该算法能够对人脸图像进行良好的分类识别，尤其是小样本的情况下。
Face Recognition System vs environment. Very detailed code. Including recognition of the whole process. Face detection, feature extraction, classification, face recognition.
人脸识别系统，很期待这样的代码，希望可以学习其中的方法。
Face Recognition System vs environment. Very detailed code. Including recognition of the whole process. Face detection, feature extraction, classification, face recognition.
人脸识别系统，很期待这样的代码，希望可以学习其中的方法。
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