搜索资源列表
svm
- 非线性svm实现样本点的分类，并输出图像，输入数据为矩阵-Nonlinear svm to achieve a classification of the sample points, and the output image, the input data matrix
NcutClustering
- 支持向量机SVM很好的实现二类分类问题，这里用SVM实现图像分类。-Support vector machine SVM to achieve good class classification SVM realize the image classification.
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
discrim_rf
- 斯坦福大学的姚邦鹏开发的一个图像分类算法，使用random forest实现了图像的精细区域描述，赢得了PASCAL VOC2011图像分类竞赛中的winner prize.经测试，程序完全可运行，且提供了MAC和Windows下的两种程序。-Image Classification: An Integration of Randomization and Discrimination in A Dense Feature Representation The goal of our m
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.
liblinear-1.92.tar
- 经典随机梯度下降SVM，一个简单易读的线性分类器代码，执行速度快，分类准确率也不错，适用于大规模图像分类。-The classic stochastic gradient descent SVM, a linear classifier code easier to read, faster execution speed, good classification accuracy, suitable for large-scale image classification.
SVM-KMExample
- 实现分类，对图像进行处理，对数据进行处理-failed to translate
Active-Learning
- 遥感图像分类工具箱，包含多种基于支持向量机分类器的主动学习算法-active learning toolbox, used for remote sensing data classification, includes most popular svm-based active learning algorithms.
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
demoBagSVM
- 一种基于半监督的svm的图像分类方法。该方法通过聚类核的方法利用无标记样本局部正则化训练核的表达式。这种方法通过图像直接学习一个自适应的核。该程序仿真的是文章：Semi-supervised Remote Sensing Image Classification with Cluster Kernels。大家可以参考下。-A semi-supervised SVM is presented for the classification of remote sensing images. The
7894561@dagsvm
- 很好用的svm工具箱，dagsvm对于图像分类效果非常好，分类精度很高，代码清洗简单。-Good use of SVM Toolbox, dagsvm for image classification effect is very good, very high classification accuracy, code cleaning easy.
LSSVMlabv1_8_R2009b_R2011a
- 快速稀疏svm算法实现图像分类，有需要者可以共同讨论-Fast sparse svm algorithm for image classification, there are those who need to discuss
svcsvm
- 快速稀疏svm算法实现图像分类，有需要者可以共同讨论-Fast sparse svm algorithm for image classification, there are those who need to discuss
ND-Flevoland_label
- 快速稀疏svm算法实现图像分类，有需要者可以共同讨论-Fast sparse svm algorithm for image classification, there are those who need to discuss
PG_BOW_DEMO-master
- 一个用BoW|Pyramid BoW+SVM进行图像分类的Matlab Demo -Image Classification using Bag of Words and Spatial Pyramid BoW
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
9Customizing-kernel-functions-
- 9定制内核函数基于高光谱图像分类IEEE图像处理622 _guo_tip 17(4)622 - 629-9 Customizing kernel functions for SVM-based hyperspectral image classification IEEE Transactions on Image Processing 17 (4) 622-629 2008_guo_tip
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_image_block_segment
- SVM 用于基于块划分特征提取的图像分类，主要针对一幅图片的类型进行判断，比如说是古建筑、水体、植被等。-SVM classfication for image class type, based on image block segmention.