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SVM-MATLAB
- 本文是一篇名为“基于SVM的石油勘探算法研究”的硕士论文，文中应用MATLAB进行算法实现，给出了详细的设计思路，各种不同方法的图像对比，区县调整，是一片相当不错的文章。-This is the one entitled "SVM Based Algorithm for oil exploration," the master's thesis, text MATLAB algorithm is given a detailed design ideas, diffe
svm_face_recognition
- 一篇很不错的关于人脸表情识别的论文。论文提出了一种基于人脸局部特征的表情识别方法，先选取人脸重要的局部特征,对得到的局部特征进行主成分分析,然后用支持向量机( SVM)设计局部特征分类器来确定测试表情图像中局部特征,同时设计支持向量机( SVM)表情分类器,确定表情图像的所属类别。-A very good facial expression recognition on paper. This paper proposes a feature based on local expression
FaceDe
- 基于支持向量聚类的多聚焦图像融合算法. 从无监督机器学习角度提出了一种基于SVC(support vector clustering)的图像融合规则,解决了基于 SVM(support vector machine)的融合规则在处理多聚焦图像融合问题时所引起的区域混叠与非平滑过渡问题,进一步提高了融合图像的质量.-Based on support vector clustering algorithm for multi-focus image fusion. Never oversig
8080524
- 基于特征选择和svms的图像分类 MI算法-Feature selection and image classification svms
SVMmedicalimage
- 将ＳＶＭ应用到医学图像分类中，建立分类器-The SVM applied to medical image classification, the establishment of classification
classification
- Image segmentation: classification-neural network, SVM,-Image segmentation: classification-neural network, SVM,...
svmclassify
- Image Classification Using SVMs describe SVM
svm
- 非线性svm实现样本点的分类，并输出图像，输入数据为矩阵-Nonlinear svm to achieve a classification of the sample points, and the output image, the input data matrix
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
matlab
- 适用于SIFT图像特征提取、K-means生成聚类、SVM图像分类-Image feature extraction, generation clustering, image classification
ND-Flevoland_label
- 快速稀疏svm算法实现图像分类，有需要者可以共同讨论-Fast sparse svm algorithm for image classification, there are those who need to discuss
01626622_2
- Face Detection in Color Images Based on Sub-image Fusion and SVM
SVM
- 支持向量机（SVM）上的一些图像处理的资料-Some image processing support vector machine (SVM) on data
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
segmentation-based-on-SVM
- 基于支持向量机方法的图像分割与目标分类.介绍了支持向量机用于车辆图像分类。以及用于单目标图像的分割和多目标图像的分割，介绍的较为详细。-Method of image segmentation based on support vector machine (SVM) and the target classification. This paper introduces the support vector machine (SVM) is used to vehicle image clas
IMAGE FORGERY DETECTION USING SVM CLASSIFIER
- This paper describes a technique for detecting digital image forgery using illuminant color.
tenpai_v19
- 意信号卷积的运算,并且绘制图象，双向PCS控制仿真，包括最小二乘法、SVM、神经网络、1_k近邻法。- Convolution operation is intended to signal and image rendering, Two-way PCS control simulation, Including the least squares method, the SVM, neural networks, 1 _k neighbor method.
segment
- 基于SVM与区域生长相结合的图像分割方法(Image segmentation method based on SVM and region growth)