搜索资源列表
Ada_Boost
- adaboost源码Adaboost是一种迭代算法,其核心思想是针对同一个训练集训练不同的分类器(弱分类器),然后把这些弱分类器集合起来,构成一个更强的最终分类器(强分类器)。-adaboost source is an iterative algorithm Adaboost, the core idea is that a training set for the same training the different classifiers (weak classifier), then
NBC
- 用C#编的朴素贝叶斯分类器。希望大家能用得上-A Naive Bayesian Classifier in C#
renlianshibie
- 利用PCA对人脸图像进行降维,然后训练神经网络分类器的Matlab程序-the Matlab in face recoginization using PCA algorithm
pca_knn
- 本方法采用pca进行特征提取,knn分类器进行人脸识别。-The method of feature extraction using pca, knn classifier for face recognition.
classifier
- 两类二维相关正态分布条件下的最小错误率贝叶斯分类器,基于最小风险的贝叶斯分类器,Parzen窗法非参数估计分类器程序,Fisher线性判别法分类器程序。-Under normal conditions two types of two-dimensional correlation of minimum error rate of Bayesian classifier, the minimum risk-based Bayesian classifier, Parzen window meth
NaiveBayesianclassifier
- 朴素贝叶斯分类器识别鼠标输入的字母A-J-Naive Bayesian classifier to recognize the letters AJ mouse input
Bayes
- 传统贝叶斯分类器,最小错误率贝叶斯分类器、最小风险贝叶斯分类器-Traditional Bayesian classifier, the minimum error rate classifier, minimum risk Bayes classifier
BP_Adaboost5
- 基于 BP_Adaboost 强分类器设计 公司财务预警 建模-Classifier design based on BP_Adaboost strong financial early warning model
fisher
- 用fisher分类器实现简单的分类,首先进行样本的训练,然后对待测样本进行测试,程序中画出了分界面。-Fisher classifier with a simple classification, first of all to the training sample, then treatment of test samples for testing, the interface of the program are drawn.
lms
- 用lms分类器实现了比较准确的分类,同时给出了实验的结果。运行正确,直接调用程序即可。-Lms classifier achieved with the more accurate the classification of the experimental results are given. Running correctly, you can directly call the procedure.
lsvm
- 用线性支持向量机,lsvm分类器实现分类,同时给出了实验结果。还画出了支持向量。-Support vector machines with linear, lsvm classifier achieved classification, while the experimental results. Also drawn the support vector.
matlab
- 模式识别中的线性分类器的设计,包括感知机,最小二乘法和支撑矢量机的算法的MATLAB代码。-Pattern Recognition linear classifier design, including perception, least squares and support vector machine algorithm MATLAB code.
the-least-square-error-algorithm
- 线性分类器-最小平方误差算法,对一组数据进行分类,分析b1、b2改变对结果的影响-Linear classifier- the least square error algorithm
bayes_classifier
- 贝叶斯分类器实现多类识别,主要用于两类的识别-BAYES_CLASSIFIER function calculates the discriminant functions for two classes.
Classifier
- 本程序完成的功能是模式识别中的两类线性分类器-Test Report on Two-category Classifier
bayes
- 贝叶斯分类器的设计与实现,非常好的应用程序,能够在其上面实现人脸识别-Bayesian classifier design and implementation of a very good application, face recognition can be achieved in the above
linear
- 实现了各种线性分类器,对初学者非常有用的代码。-To achieve a variety of linear classifier, the code is very useful for beginners.
bayes
- 实现朴素贝叶斯文本分类器,用java实验,还包括readme和训练集-Naive Bayes text classifier to achieve with java experiments, including readme and the training set
Classifier_NN_f
- 最近邻分类器,matlab环境下,可直接调用-Nearest neighbor classifier, matlab environment, can be called directly
7788
- 大名鼎鼎的方帅的博士学位论文---目前,计算机智能视频监控在理论和应用上都面临着很多难题,国内外大批学者投身于该领域的研究和探索,并且取得了大量的成果.本文是在这些成果的基础上,对计算机智能视频监控系统的关键技术进行研究.主要贡献可概括如下:首先,对目标检测技术进行了研究,并提出了一种基于背景建模的运动目标检测算法.利用统计的方法建立了基于颜色和颜色梯度的背景模型,并实时地对背景模型进行更新,最后将这两种背景模型综合考虑对目标进行了有效的检测.接着,研究了复杂背景下多目标跟踪问题,提出了基于蒙特