搜索资源列表
2016_GAN_Matlab-master
- GAN的matlab版本，用于图像分类和生成(The matlab version of GAN is used for image classification and generation)
matconvnet-1.0-beta19.tar
- matlab实现CNN卷积神经网络，进行图像分类。(We can realize neural network with matlab, which will complete the classification of the image.)
kernelBP_chol
- 针对图像的基于核置信传播的分类器，具有收敛速度快，精度高的优点。(This is a sample code for Kernel Belief Propagation Classifier for images.)
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)
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)
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
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.)
NNPic
- 对图像的亮度分布曲线进行人工智能学习，并分类的多隐含层的BP神经网络(The BP neural network of the multi hidden layer of artificial intelligence learning for the brightness distribution curve of the image and the classification of the multi hidden layer)
tensorflow-CNN-CIFAR-10-master
- CNN实现图像数据的分类，有数据库下载代码(CNN implements the classification of image data, and there is a database download code)
CNN_matlab
- 卷积神经网络（CNN）是一种深度学习方法，它可以对图像进行识别和特征分类等优点。(The convolution neural network (CNN) is a deep learning method which can identify and characterize the image.)
Fisher字典学习
- 基于稀疏表示的高光谱图像分类的Fisher字典学习方法matlab代码(Hypersynthetic image classification based on sparse representation in Fisher dictionary learning matlab code.)
NMF
- 使用NMF和KNN分类器实现对高维图像的降维处理(use NMF and KNN for high dimensional image)
Demo_Broadlearning_MNIST
- 宽度学习是最近比较热的分类器，可用于图像分类等应用(image classification Broad learning)
CRF++-0.44.tar
- 条件随机场的c++实现，可用于文本标注、图像分类、分割等领域(conditional random field,CRF++ 0.44)
20171211留档
- 利用SVM对制备的样本进行三分类，对图像进行三角形匹配，模板匹配(SVM was used to classify the samples in three categories. Triangle matching and template matching were applied to the images.)
CIFAR10
- 在CIFAR-10数据集上使用卷积神经网络进行图像分类(Image classification using convolution neural network on CIFAR-10 dataset)
SVM做图片处理
- 使用SVM算法对CIFAR-10图片数据集进行分类，包括模型的训练，测试和参数的调优(Using SVM algorithm to classify CIFAR-10 image data sets, including model training, testing and parameter tuning)
googlenet运行实例
- 利用googlenet实现图像分类，是googlenet的一个应用实例，只要在网上下载googlenet模型，将其放到对应文件夹中即可运行。绝对保证可以运行(Using Google eNet to classify images is an application example of Google enet. Just download the Google eNet model and put it in the corresponding folder to run. Absolutel