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Classificationofhyper_magebasedonBEMD
- Abstract : As a powerful tool for image processing ，bi-dimensional empirical mode decomposition ( BEMD) covers a wide range of applications． In this paper ，we explore a novel hyperspectral classification algorithm which integrates BEMD and s
HOG
- 基于梯度方向直方图( H OG) 特征的行人检测是目前检测精度较高的主流方法。针对基于梯度直方图特征的 行人检测存在检测精度还有待提高、向量维数大的问题, 提出使用梯度直方图统计特征加颜色频率和肤色特征描述行 人, 选取一些分类能力较强的block 作为最后的特征, 使用线性SVM 分类。在INRIA 库上的实验证明, 该方法能有效地 提高检测精度。-H istog r am o f or iented g radient( H OG) based on pedestr ian de
cedival-cancer-svm
- Cervical cancer is one of the deadliest cancers known and is also a key research area in image processing. The main problem with this cancer is that it cannot be detected as it doesn’t throw any symptoms until the final stages. This is attributed to
svm
- It is used to classify and find the heart disease using SVM classifier
SVM
- Among learning Machine Support Vector Machine (SVM) is a powerful method to classify data, this is a useful book to learn SVM its basis.-Among learning Machine Support Vector Machine (SVM) is a powerful method to classify data, this is a useful book