搜索资源列表
The-application-of-svm
- 统计机器学习的支持向量机SVM在图像分割中的应用学习报告。-Statistical machine learning support vector machine SVM image segmentation study report.
svm-bp
- 将svm分类与bp算法结合，针对图像中的分类预测问题提出一种算法-Svm classification the bp algorithm combines propose an algorithm for image classification prediction problem
svm
- 图像处理模式识别一种分类算法：svm，对于所提取的图像的特征进行训练学习然后分类。-Image processing, pattern recognition of a classification algorithm: SVM trained to learn the characteristics of the extracted image and then classified.
Ls-svm
- 支持向量机纹理图像分类，自己写的，非常不错-Support vector machine texture image classification, write your own, very good
SVM-KMExample
- 实现分类，对图像进行处理，对数据进行处理-failed to translate
SVM
- 一个简单易学的SVM程序，包括线性和非线性SVM，并包含二维和三维图像的转化。-An easy to learn SVM procedures, including linear and nonlinear SVM, and includes the conversion of two-dimensional and three-dimensional images.
matlab
- 适用于SIFT图像特征提取、K-means生成聚类、SVM图像分类-Image feature extraction, generation clustering, image classification
SVM-matlab
- svm的各种经典的程序，用于对数据、图像进行分类，回归。其中，既包含分两类的程序，也包括分多类的程序，以及svm改进算法的程序。-svm various classic procedures for data, image classification, regression. Which contains both the two types of procedures, including many types of procedures and svm algorithm procedur
SVM
- 支持向量机用matlab来实现，能够实现简单的图像功能，还能让人深刻理解向量机思想-Support vector machine matlab to achieve, to achieve simple image function, but also a deep understanding of people thinking vector machine
svm
- SVM 用于基于块划分特征提取的图像分类源码-SVM for feature extraction block-based image classification into source
OpenCV_SVM_example
- 基于OPENCV实现SVM图像特征分类的小例子。-Implementation of SVM image classification based on a small example of OPENCV.
Pattern-Recognition-and-SVM
- 对四分类图像，使用两个提取特征值向量的方法来提取特征，然后使用SVM进行分类识别，里边包含了LIBSVM进行识别时各个参数的变化时的对结果的影响。里面包含完整源代码，在word里。是我的数字图像作业。-Four categories of images, using two feature extraction methods to extract the value of feature vectors, and then use SVM classification and recognit
target-tracking-based-on-SVM
- 将基于统计学习理论中的支持向量机(SVM)应用到目标跟踪领域中"该算法不仅能够自动检测和跟踪视场或图像中预先设定好的目标,而且克服了传统目标跟踪系统的缺陷.-Will be based on statistical learning theory, support vector machine (SVM) is applied to the target tracking in "The algorithm can automatically detect and track field of
image-segmentation-using-svm
- 在matlab中应用svm算法对图像进行处里，分离出主体和背景-Svm algorithm in matlab applications where the image of the isolated subject and background
SVM
- 支持向量机（SVM）上的一些图像处理的资料-Some image processing support vector machine (SVM) on data
SVM
- 支持向量机（SVM）用于图像处理，包括印章识别，水天线检测，对偶问题与原问题之间的转换，手写数字体识别-the application of SVM in many aspects
SVM-
- 支持向量机算法在MATLAB中的实现，源代码以及实例，做图像处理的希望能多多下载，谢谢！-Support vector machine algorithm in MATLAB, the source code and examples, hoping to do a lot of image processing download, thank you!
SVM-segmention
- 基于SVM支持向量机的图像前景和背景分割代码他，通过手动选择训练样本生成分类器，然后进行分割-SVM SVM based image segmentation code foreground and background, he generated classifier by manually selecting training samples, and then split
svm
- 对一些图像或者其他数据进行svm处理，得出两种类型数据的对比-SVM on some images or other data processing, it is concluded that two types of data contrast to SVM dealing with some images or other data, it is concluded that the two types of data contrast
An-Introduction-to-SVM
- 支持向量机（SVM）是在统计学习理论的基础上发展起来的新一代学习算法，该算法在文本分类、手写识别、图像分类、生物信息学等领域中获得了较好的应用。本书是SVM的权威参考书。-Support Vector Machine (SVM) is a new learning algorithm developed on the basis of statistical learning theory, the algorithm to obtain a better application in the