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BAG OF WORDS算法应用于图片分类。图像特征用sift算法描述，分类机利用了libsvm方法。-BAG OF WORDS algorithm is applied to image classification. Image features using sift algorithm descr iption, classification machine utilizes libsvm method.
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这是svm工具包，功能比较齐全，通过运行，效果不错，可以实现高光谱图像分类-This is the SVM toolkit, the function is relatively complete, through the operation, the effect is good, can achieve hyperspectral image classification
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用于图像分类的源代码，深度学习的应用，cnn卷积神经网络的使用，可以自己更换数据集或者调优，适合初学者使用！-For image classification of the source code, the application of in-depth learning, cnn convolutional neural network, you can replace the data set or tuning, suitable for beginners!
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深度神经网络VGG-16模型的keras代码，用于图像识别-keras codes of deep neural network VGG-16 model, used of image classification
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人工神经网络 实现图像分类 模式识别 C语言代码-Artificial Neural Network for Image Classification Pattern Recognition
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运用k_means 聚类算法 对图像进行分类识别 c语言代码-Using k means clustering algorithm for image classification to identify c language code
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vc++开发的图像分类，包括聚类分析，模糊聚类，遗传算法聚类等-vc++ Developed image classification, including cluster analysis, fuzzy clustering, genetic
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er than mean squared error (MSE) function only. As an additional merit,
it is also revealed that rigorous Mercer kernel condition is not required in FKNN networks. When the
proposed
architecture of FKNN networks is constructed in a layer-by-lay
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BP神经网络进行图像不同类别的分类，根据不同特征进行训练然后测试-The BP neural network image classification
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K均值分类代码，遥感图像处理采用K均值分类的方法自动进行图像分类。-K-means classification code, remote sensing image classification method using K-means automatic image classification.
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Spectral-Spatial Hyperspectral Image Classification via Multiscale Adaptive Sparse Representation
Fang, Leyuan and Li, Shutao and Kang, Xudong and Benediktsson, Jon Atli Geoscience and Remote Sensing, IEEE Transactions on:2014
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神经网络引入后，检测框架变得更快更准确。然而，大多数检测方法受限于少量物体。检测和训练数据上联合训练物体检测器，用有标签的检测图像来学习精确定位，同时用分类图像来增加词汇和鲁棒性。原YOLO系统上生成YOLOv2检测器；在ImageNet中超过9000类的数据和COCO的检测数据上，合并数据集和联合训练YOLO9-After the neural network is introduced, it is becoming faster and more accurate detection fr
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基于相关向量机的高光谱图像分类算法，functions中是用到的函数，另一个文件夹是主程序。-RVM hyperspectral image classification algorithm, functions are functions used, another folder is the main program.
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图形图像处理与机器视觉以及MATLAB的图像化用户界面设计以及surf算法-Graphic image processing and machine vision as well as MATLAB graphical user interface design and surf algorithm
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作为一种优秀的纹理特征提取技术，多重分形谱插值方法被提出用于图像的特征提取和分类。-As an excellent texture feature extraction technology, a multi-fractal spectrum interpolation methods have been proposed for image feature extraction and classification.
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This package contains the Matlab codes implementing the ScSPM algorithm described in CVPR 09 paper
Linear Spatial Pyramid Matching using Sparse Coding for Image Classification .基于空间金字塔匹配的稀疏编码，用于图像检索，识别与分类-This package contains the Matlab codes im
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Image classification using RBFSVM and Manhattan distance. It detects face and eye. Face detection using Viola jones.
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遥感影像土地利用覆盖分类方法研究进展
为了研究遥感影像土地利用/覆盖分类的方法,综述了国内外近30年的遥感图像分类研究,发现遥感图像分类方法存在多而杂的问题.在分析当前主要遥感影像分类方法的基础上,从传统的分类方法、传统分类方法的改进、其他新分类方法3个方面,对遥感影像土地利用/覆盖分类方法研究进展进行了阐述,本研究还存在不足,今后还需进一步研究利用各种分类方法相互结合在土地利用/覆盖遥感分类中的应用.
-Advances in remote sensing image clas
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利用超限学习机（ELM）和稀疏表示(SRC)进行图像分类。Matlab完整源码。-Extreme learning machine and adaptive sparse representation for image classification
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PCANet_train, 基于主成分分析是卷积神经网络的训练过程。-A simple deep learning baseline for image classification
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