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01.rar
的研究彩色数字图像的计算机分类识别方法并应用于古瓷片的自动分类。方法提出
了一种色彩纹理特征的提取模型，采用该模型，利用IGabor滤波器提取数字图像的色彩纹理特征，
并构造支持向量分类机(SVM)分类器组。结果实现了高准确率多类别图像的自动分类识别，并
成功应用于古瓷片的自动分类。结论色彩纹理特征提取方法将颜色与纹理进行融合，增强了数
字图像之间的特征区分能力。
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Multi-class-SVM-Image-Classification.rar
基于神经网络的遥感图像分类取得了较好的效果,但存在固有的过学习、易陷入局部极小等缺点.支持向量机机器学习方法,根据结构风险最小化(SRM)原理,表现出很多优于其他传统方法的性能,本研究的基于多类支持向量机分类器的遥感图像分类取得了达95.4 的分类精度.但由于遥感图像分类类别多,所需训练样本较大,人工选择效率较低,为此提出以人工选择初始聚类质心、C均值模糊聚类算法自动标注训练样本的基于多类支持向量机的半监督式遥感图像分类方法,期望能在获得适用的分类精度的基础上有效提高分类效率
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Hybird AI System 13th International conference
... Fraud Detection
Chapter 12. Multi-class Imbalanced Data Oversampling for Vertebral Column Pathologies Classification
Chapter 13. A ... ASSRS for the SSCF Problem in Self-Similar Fractal Image Reconstruction
Chapter 56. A Re-description Based Developmental ...
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geo-blur
... have same class label
the given test image has the same class
else
perform multi-class SVM based on K-nearest neighbours ...
Classification
For the list of test images, run SVM-KN ...
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HCS-data-access-library
... random cell from an image/well/group/experiment
- select a random cell of some particular class
- fetch a ... (with exclusions would be nice, but not necessary) for classification.
... with a possible function to be called on each ...
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FoodcamClassifier
... Recognition. (they used SIFT)
Radial Basis Function SVMs for classification.
This is basically a primer to BOVW methods ... window. This enables better multi-class decisions, and actually paves the path to image segmentation.
Compiling
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Basically ...
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