搜索资源列表
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.
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
Caffe-DeepBinaryCode-master
- 调用caffe的matlab接口，进行图像特征提取，获得二值特征，及图像分类。-The call caffe matlab interface for image feature extraction, to obtain binary features, and image classification.
matlab
- 支持向量机目标分类算法的设计与实现（图像分类）-Design and implementation of support vector machine in target classification algorithm (image classification)
Image-classification-based-on-BOVW
- 针对视觉字典的最佳表示方式、图像分类任务中亟需计算效率高、存储代价小、分类准确度高的算法等难题，提出了几种创新的算法。-Aiming at the problem of the best representation of visual dictionary and the need of high efficiency, low memory cost and high classification accuracy in image classification task, several
SIFT-algorithm
- 对当下比较流行的图像分类算法SIFT（尺度不变特征变换）进行简单介绍。-On the current popular image classification algorithm SIFT (scale invariant feature transform) for a brief introduction.
K-means-matlab
- K-means聚类算法的MATLAB版本，不仅给出了代码，还包括在图像分类中的具体应用-K-means cluster algorithm in the version of matlab
bayes
- 将模式识别方法与图像处理技术相结合，掌握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-bayes with matlab
llc
- kmeans用于图像分类，在LLC方法中-using kmeans for image classification in LLC