搜索资源列表
PCA
- 用pca分类器将Iris数据分开，并分析pca分类器的特点-Classifier with the Iris data pca separate and analyze the characteristics of classification pca
Speakerrecognitionbased-on-MFCC
- 这是一篇工学硕士论文，主要说关于说话人语音识别，，以支持向量机为分类器，分别以MFCC和IM-FCC为特征单独执行分类，将得到结果按某种方式融合，取两者之长，最后做出判决来提高说话人识别系统的性能。-Speaker recognition is a kind of technology that take the use of the information contained in the speech signal to ide
beiyesifenleiqi
- 程序是基于贝叶斯最小错误率的分类器的设计，真确率达到98 ，学习模式识别的很好的程序-Program is based on the Bayes minimum error rate classifier design, true rate of 98 , a good learning pattern recognition program
SINISAS-HOME-PAGE.files
- The learning process involves three steps: (a) learning the random forests, (b) constructing the second-level training set, and (c) learning the stacked classifier.
bayeclassif--presuo-data
- 掌握利用贝叶斯公式进行设计分类器的方法。分别做出协方差相同和不同两种情况下的判别分类边界-Master the use of Bayes classifier design methods. Covariance were made in both cases the same and different classification of the discriminant boundary
Bayes
- 朴素的贝叶斯分类器，原理很简单，性能还不错-Naive Bayesian classifier, the principle is very simple, good performance
IrisDC06
- 分类是数据挖掘 、机器学习 和模式识别 中一个重要的研究领域。分类的目的是学会一个分类模型 (称作分类器)，该模型能把未知类别的数据项映射到给定类别中。目前发展较成熟的几种分类算法 如决策树、神经网络、贝叶斯方法、遗传算法等。分类具有广泛的应用，例如医学诊断、信用卡系统的信用分级、图像模式识别等。本毕业设计通过使用鸢尾属植物(IRIS)数据集，对当前数据挖掘中具有代表性的优秀分类算法进行分析和比较，总结出了各种算法的特性，为使用者选择
haar_FACE_detction
- 用C++编写的人脸检测程序，基于ADABOOST的，里面有14级强分类器以及每层强分类器所含弱分类器的参数，附检测图片，检测效果很好- face detection program written in C++ based on ADABOOST, and there are 14 strong classifiers, and each strong classifier contains the parameters of the
fisherclassify
- 本程序主要是实现fisher线性分类器的功能，主要应用于隐写分析中的分类情形。-fisher linear classifier
HOG
- 该代码用于各种图像的HOG特征提取，以进一步训练分类器进行行人检测，不错的-HOG for a variety of image feature extraction, in order to further training classifier Pedestrian Detection
SVM
- 基于SVM的分类器，它像多沉感知器一样，可以用于模式分类和多层回归！-Based on SVM classifier, it more like heavy perceptron as, can used for pattern classification and multi-layer return!
Steganalysis-Based-on-dctdwt-space
- 基于SVM分类器的三域特征融合图像隐写分析算法。三域分别是指dct域，dwt域和空域。-A Steganalysis Based on the Fusion of Three-domain Features of Image and SVM (Support Vector Machines) Classifier.the three domain is the dct,the dwt and the space
ECG
- The early detection of arrhythmia is very important for the cardiac patients. This done by analyzing the electrocardiogram (ECG) signals and extracting some features from them. These features can be used in the cla
ada
- 基于BP_Adaboost的强分类器设计-公司财务预警建模，基于神经网络的matlab参考代码。-Strong classifier based on BP_Adaboost design- the company' s financial early warning model, based on neural network matlab reference code.
HOG
- 这是最简洁，注释得最好的HOG(Histogram Oriented Gradient)算法的matlab实现。可用于行人识别和物体跟踪。-This code is well commented, which enables the adjusting of the HOG parameters. This code was developed for the work: O. Ludwig, D. Delgado, V. Goncal
jBNC
- jBNC is a Java toolkit for training, testing, and applying Bayesian Network Classifiers. Implemented classifiers have been shown to perform well in a variety of artificial intelligence, machine learning, and data m
code
- KNN分类器（K-Nearest Neighbor classification）可以简单得将几种类别分开 -KNN classifier
New-Folder
- code for neural network classifier-code for neural network classifier
73577392Fisher
- fisher分类器，用于模式识别和图像处理-fisher classifier, used in ANN
bayes
- 很完整的朴素贝叶斯分类器，基于openCV做点。先随机生产一个2维特征向量，然后使用贝叶斯来分类并且现实。-Is complete the simple Bayesian classifier, based on openCV to do. First production of a random 2-dimensional feature vector, and then to use Bayesian classification