搜索资源列表
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主要是对一些图像进行识别，通过分割达到分类的效果-Mainly for some image recognition, to achieve the effect by dividing the classification
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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
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随机森林算法在图像特征分类回归中的应用，通过结合神经网络进行更好的特征数据处理-Application of random forest algorithm in image classification and regression, better features by combining neural networks data processing
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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
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该程序是对图像进行分类处理，并将不同的区域分别加以区分。-The program is for image classification and distinction between different regions, respectively.
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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.
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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.
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以多边形采样结果构建训练集,对图像进行分类-Polygon sampling results build the training set, the image classification
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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
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DFDL: Discriminative Feature-oriented Dictionary Learning for Histopathological Image Classification
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基于流行分类原理，对图形和图像进行分类处理，采用RSSC算法-Based on the principle of manifold classification, graphics and image classification using RSSC algorithm
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基于流行分类原理，对图形和图像进行分类处理，采用SCC算法-Based on the principle of manifold classification, graphics and image classification using SCC algorithm
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基于流行分类原理，对图形和图像进行分类处理，采用SMMC算法-Based on the principle of manifold classification, graphics and image classification using SMMC algorithm
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基于流行分类原理，对图形和图像进行分类处理，采用K-manifold算法-Based on the principle of manifold classification, graphics and image classification using K-manifold algorithm
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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.
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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)
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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.
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火灾图片分类，用于区分火灾和正常森林状态的matlab代码，正确率达到95 。-Fire image classification, is used to distinguish between normal forest fires and status of matlab code, and the accuracy reaches 95 .
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丕子大神的BOW模型svm示例，可以用来实现自己的图片分类程序-svm example BOW model Pi child Great God, can be used to implement your own image classification procedures
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用于检测labdsat5卫星遥感图像中厚云覆盖的检测分类。-Used for detecting thick clouds of remote sensing image classification
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