搜索资源列表
SparseBayes
- 利用稀疏贝叶斯实现的图像分类，实现效果很好，matlab代码-Sparse Bayesian image classification implemented to achieve good results, matlab codes
histDist
- 包括彩色图像直方图计算和灰度图像直方图计算，可以作为场景图像分类的一种方法-Including color and grayscale images to calculate an image histogram histogram calculation can be used as a method of image classification scene
Kmean
- 在matlab下的k-均值聚类进行图像分类分割处理-In matlab under the k-means clustering for image classification be dealt with separately
DAP_OSR
- 代码主要实现了零样本图像分类中的直接属性预测模型。在没有训练样本的情况下对其进行分类。-Code mainly realize the zero sample image classification of direct property prediction models. In case of the absence of training samples to classify them.
k-means-algorithm
- 基于k-means算法的遥感图像分类 源代码 算法测试-Remote sensing image classification based on k-means algorithm Source code Algorithm testing
knn-algorithm
- 基于knn算法的遥感图像分类 源代码 算法测试-Remote sensing image classification based on knn algorithm Source code Algorithm testing
binary_decision_tree_v1.0
- 实现图像分类，基于二元决策树模型,代码通俗易懂-Realization of image classification, based on the binary decision tree model straightaway code
Code_EnPro
- 基于全映射方法的半监督图像分类算法。基于局部一致性和外部非一致性假设，首先从未标注数据自动产生多种模型。设计方法利用可利用数据对模型进行采样，利用逻辑回归判决学习得到每个模型的映射函数。 基于全局的思想，这里利用联合映射函数值来代表图像。 -Ensemble Projection for Semi-supervised Image Classification
Images_Classify_Based_On_HOG_Feature
- 图像分类Images_Classify_Based_On_HOG_Feature-Images Classify Images_Classify_Based_On_HOG_Feature
question-one
- K-means进行文字图像分类，基础方法一-exploit K-means to classify the graphs
question-two
- K-means进行文字图像分类，中心谱聚类方法-spectral_clustering is used to classify the photos
object_classfication_end
- C++编写的图像分类程序，实现图像的分类。-C++ write image classification procedures, classification of images.
TextonBoostSplits
- Textonboost用boosting实现基于纹理特征的图像分类，里面有训练集、测试集和验证集，具有一定参考价值。-Textonboost uses boosting to realize image classification based on texture features, which has training set, test set and validation set, which has a certain reference value.
tuxiangbeiyesi
- 利用最小错分概率贝叶斯分类器进行图像分类的基本方法，将模式识别方法与图像处理技术相结合-The basic method of image classification using the minimum error probability Bias classifier, the pattern recognition method and image processing technology
kemanstuxiang
- 利用K均值聚类算法进行图像分类的基本方法，将模式识别方法与图像处理技术相结合，-Using K means clustering algorithm to carry out the basic method of image classification, the pattern recognition method and image processing technology,
tuxiangfengebeiyesi
- 将模式识别方法与图像处理技术相结合，利用最小错分概率贝叶斯分类器进行图像分类-The pattern recognition method and image processing technology are combined, using the minimum error probability Bias classifier for image classification
syn_13
- 以网格采样方法构建训练集,训练决策树，对图像分类。-Grid sampling method for constructing the training set, training the decision tree, for image classification.
segmentation-based-on-SVM
- 基于支持向量机方法的图像分割与目标分类.介绍了支持向量机用于车辆图像分类。以及用于单目标图像的分割和多目标图像的分割，介绍的较为详细。-Method of image segmentation based on support vector machine (SVM) and the target classification. This paper introduces the support vector machine (SVM) is used to vehicle image clas
cnn_cuda5.5
- 利用cuda加速卷积神经网络，用于人工智能图像分类- Cuda accelerated use convolution neural networks, artificial intelligence for image classification
ImageClassification-master
- 基于matlab的图像分类，根据图片的特征来进行的分类程序-Matlab-based image classification, according to the characteristics of image classification procedure