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chip_histogram_features
- 特征提取是模式识别中最重要的一个部分,这里提供的matlab代码计算一些基本的话音特征,而且,提供了一个简单的基于直方图的特征分类方法的实现。基本的特征包括:特征统计、Energy Entropy Standard Deviation (std)、均值信息熵、过零率检测、频谱衰减等等六个特征-Pattern recognition feature extraction is the most important part, here' s matlab code to compute so
ensembles_pca_svm_new10v
- pca做特征降维,然后进行特征空间随机分割构造多个svm分类器,并行处理,对样本进行分类,基于特征空间的svm多分类器-using pca reduce feature dimension,split feature space and then randomly divided over svm classifier construction, parallel processing, the samples were classified, based on multi-feature sp
mysvm
- 利用数据的特征分类数据,然后完成相应的工作,很好用的-Disaggregated data by the characteristics of the data, and then complete the relevant work, the good
PRL_Perspective_FMM
- 图像处理中的用于特征分类检测的工具箱,很有实用价值-Image processing for feature classification detection kit, great practical value
svm00
- 图像处理,包括图像特征提取,图像分类,图像归一化-Image processing, including image feature extraction, image classification, image normalization, etc.
LBP
- LBP算法,应用于识别,特征提取等多方面的一种潜力算法,主要实现图像的纹理分类-LBP algorithm, used in recognition, feature extraction algorithms and other aspects of a potential,Mainly for image texture classification
textureseg
- 用于图像的纹理分割,适合用于图像的纹理分割和图像特征分类,并且是基于MATLAB实现的纹理特征分割。-For image texture segmentation, texture suitable for image segmentation and image feature classification, and is based on the MATLAB implementation of the texture features segmentation.
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
KB-Detector-src
- 功能说明:输入一幅图像,能对此图像检测关键点,这些点通常对应图像中的重要对象,可用于对象识别,也可用来作为特征进行图像分类。运行其中的例程Ldx_GoSalScale.m,就可以知道此程序的用法(调试环境matlab7.0)。-Function: input image, this image can detect critical points, these points usually correspond to an important object of the image can be
AutoUnsupervisedIimageClassification
- 无监督图像自动分类系统,我们在VC中做了一个基于聚类的图像分类方法,可以选择不同的图像特征,还有二个不同的显示方法。使用方法见“使用说明”。-Unsupervised image automatic classification system, we made a VC in the image classification method based on clustering, you can choose different image features, there are two dif
Texture-extraction
- 程序实现图像问题特征的提取,可以用于遥感影像的多特征分类实验。-Procedures for image feature extraction problem, can be used for remote sensing images of multi-feature classification test.
03
- 类的目的就是根据现有的图像特征建立一个分类器,能够对未知的图像类型进行预测。在现有众多分类 算法中,贝叶斯分类器由于其坚实的数学理论基础并能综合先验信息和数据样本信息,成为"-3前机器学习和数据挖 掘的研究热点之一。本文论述了内容图像检索中基于贝叶斯分类器的图像分类技术。介绍了贝叶斯分类器,叙述了 利用贝叶斯分类器进行图像分类的方法,以及图像特征的分布假定。最后通过对分类器的探讨,总结了贝叶斯估计 分类的不足。-The purpose of class is based on a
PCA-and-SVM-Face-recognition
- 采用PCA对人脸特征进行抽取,用SVM多累分类器对人脸进行识别,有操作界面-Using PCA for facial feature extraction, and more tired with the SVM classifier for face identification, a user interface
paper1
- Gabor小波变换技术对医学CT图像进行纹理特征分类时,由于图像拍摄角度的变化会造成分类的误差。针对以上问题,在Gabor小波变换的基础上提出一种用于分析旋转不变医学图像的方法。该方法采用旋转规范化,即特征元素的循环移位使规范化后所有的图像都具有相同的主方向。实验结果表明,加入旋转规范化循环算子的Gabor小波变换在医学CT图像纹理特征分类时能够达到较好的精确度。-Gabor wavelet transform lacks in its ability to classify the medic
Audio
- 音频特征提取、分类、识别以及检索,希望能够给你带来帮助-Audio
SVM-based-image-classification
- 基于SVM的图像分类,由于支持向量机的分类能力极大地依赖于核参数的选取,因此,本文着重研究了核参数选择方法,并利用不同的颜色、纹理特征对图像进行分类。 -SVM-based image classification, the classification capability of SVM kernel parameters greatly depend on the selection, therefore, this paper focuses on the kernel paramet
bp
- bp神经网络实现数据分类——基于语音信号的特征分类-bp neural network data classification- classification based on the characteristics of the speech signal
EEG--classification
- 脑电信号的提取和特征分类还有滤波处理,适用于脑机接口技术中-EEG extraction and feature classification filtering process, applied to brain-computer interface technology
LDA
- LDA是一种特征分类方法,这种方法是一种线性的方法。-LDA is a feature classification method, which is a linear method.
real-time-facedetection-and-tracking
- 本文运用haar特征分类,对人脸进行动态的检测和跟踪,经过试验对比可以发现效果很好,识别率较高-This paper uses haar feature classification, human face detection and tracking of dynamic, contrast can be found through the test with good results, the recognition rate is higher