搜索资源列表
PCA-SVM-master
- PCA/SVM算法实现图像分类，分类准确率可到达90%(Image classification by PCA/SVM algorithm)
160132
- c语言源码——基本遗传学习分类系统 基本遗传算法的源码()
9934046
- zoj的题型分类,以及部分题目的AC代码,对于acm的新手来说是个很好的参考！！CHM格式()
21855762
- svmLight 分类器,使用方便,有原代码可扩充算法,()
example_knn(降维)
- knn降维算法用于图像分类，将所给样本遥感图像按照要求进行分类(KNN dimensionality reduction algorithm for image classification)
a
- 对图像分类去燥，语音消除多余的噪声，达到较好的效果(The image classification is dryness, and the voice eliminates the excess noise)
wlpabilitywindows
- SVDD的工具箱,对一类分类效果非常好,包括圆形和不规则形状的包络面,()
FeatureExtractionUsingAlexNetExample
- 本示例展示了怎样从一个预处理的卷积神经网络中提取特征，并用这些特征去训练一个图像分类器。(This example shows how to extract learned features from a pretrained convolutional neural network, and use those features to train an image classifier. Feature extraction is the easiest and fastest way use
FaceTools-master
- 本次作业使用的是汤晓鸥团队的DeepID第一代的网络，通过Caffe训练模型参数，经过LFW二分类得到人脸识别准确率。(This job is used by the Tang Xiaoou team's DeepID first generation network. Through the Caffe training model parameters, the accuracy of face recognition is obtained through the LFW two clas
遥感数字图像处理
- 较为系统地讲述了遥感数字图像处理必备的基础知识，遥感图像预处理、增强处理、遥感图像的监督分类和非监督分类等基本理论。(The basic knowledge of remote sensing digital image processing, the basic theory of remote sensing image preprocessing, enhancement processing, supervised classification and unsupervised clas
PaviaEMPSVM
- 利用形态学滤波结合SVM分类算法对高光谱图像进行分类(Using morphological filtering and SVM classification algorithm to classify hyperspectral images)
imagess
- 此代码使用DecisionTreeClassifier实现图像分类，代码注释完整，适合初学者。(This code USES DecisionTreeClassifier to implement image classification, code comments complete, suitable for beginners.)
FCDFDL-master
- 基于Fisher判据的判别式面向特征的字典学习方法用于组织病理图像分类(Discriminant feature oriented dictionary learning method based on Fisher criterion for histopathological image classification)
323100
- 支持向量机模式分类程序,可对两类模式进行分类识别()
sqocsf
- 用分类算法挖掘数据表达模式中的平移变化和放缩变化()
euuation
- BP网络的应用： BP神经网络用于分类与回归, 使用matlab打开()
sgtxdwu
- K-MEANS聚类算法,以及PSO和QPSO算法改进K-MEANS算法,breastcancer数据验证了该分类模型的有效()
label
- 对于深度学习目标分类，需要处理图像数据库，本程序能够将生成图像标签txt。(generate Image label)
caffe-201701
- 在linux平台上运用caffe使用神经网络算法对图像进行分类，预测。在计算机视觉中（机器人视觉中）占主导作用。(On the Linux platform, Caffe is used to classify and predict the image using neural network algorithm. It plays a dominant role in computer vision (robot vision).)
SIFT_YantaoNoemie
- 识别并提取图像中的SIFT特征点，用于图像识别和分类(Identify and extract the SIFT feature points in the image for image recognition and classification)