搜索资源列表
SVM-and--Face-Recognition
- 支持向量机及其在人脸识别中的应用研究 上海交通大学博士论文,在知网上面付费下载得到的。本文从应用的角度出发,较为全面地对一些相关问题进行探讨,并使用Visual C++实现了一个基于支持向量机的人脸识别软件—idTeller。 论文的主要工作和创新点包括: ·提出了两种基于VC边界的支持向量机参数选择算法—固定C算法和VC-CV算法。VC边界是两类支持向量机参数选择的一个理想准则,但它的一些固有缺点使其应用变得困难。本文通过将VC边界转化为VC指标,最终把问题归结为对最小包围体的求解,从理论
template-matching-and-SVM
- 本文说明了基于模板匹配与支持向量机SVM的人脸识别算法-Based on template matching and support vector machine for face detection
imageSVM
- 利用svm算法分类图像。示例中:将篮球场和网球场利用算法自动分类,包含了基于颜色矩的彩色图像特征提取算法-image classification using SVM algorithm
Linear-classifier-design
- 对“data1.m”数据,分别采用感知机算法、最小平方误差算法、线性SVM算法设计分类器,分别画出决策面,并比较性能。-The "data1.m" data, respectively, using the perceptron algorithm, the least square error algorithm, the linear SVM algorithm design classifier, respectively, to draw the decision-making surf
SVM
- 一些使用支持矢量机进行图像分割的算法,以及相关的文献资料,打包下载的好东西哦-Some use support vector machine algorithm for image segmentation, and related literature, package download a good thing
SVMclassify
- 这是一篇基于SVM算法的文本分类器的文章,文章详细介绍了分类器的算法原理,对图像图形处理专业人员的重要参考价值!-This is a text classifier based on SVM algorithm, the article details the classifier algorithm principle, an important reference value of the image graphics professionals!
svm-struct
- 支持向量机结构回归算法(svm-struct),一种新的回归方法,有文献和PPT,方便学习。-Support the structural regression algorithm vector machine (svm-struct), a new regression method, literature and PPT to facilitate learning.
svm
- 图像处理模式识别一种分类算法:svm,对于所提取的图像的特征进行训练学习然后分类。-Image processing, pattern recognition of a classification algorithm: SVM trained to learn the characteristics of the extracted image and then classified.
matlab-svmshix
- svm算法的研究与实现,较好的实现图像目标分裂效果-svm algorithm and achieve better image target split effect
support_vector_machine
- 实现了SVM算法对图像监督分类,用户需要自己设定参数。-Achieve a supervised classification SVM algorithm for image, you need to set their own parameters.
c-svm
- 用c语言实现支持向量机的算法,内容很好的,真的-C language support vector machine algorithm, good content, really
MITfaces
- pca 结合svm 算法的人脸与非人脸分类程序。附带训练和测试样本。-pca svm algorithm combined with the human face and non-face classification procedure. With training and test samples.
LSSVMlabv1_8_R2009b_R2011a
- 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
svcsvm
- 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
target-tracking-based-on-SVM
- 将基于统计学习理论中的支持向量机(SVM)应用到目标跟踪领域中"该算法不仅能够自动检测和跟踪视场或图像中预先设定好的目标,而且克服了传统目标跟踪系统的缺陷.-Will be based on statistical learning theory, support vector machine (SVM) is applied to the target tracking in "The algorithm can automatically detect and track field of
SVM-reviewed
- 支持向量机方法中也存在着一些亟待解决的问题,主要包括:如何用支持向量机更有效的解决多类分类问题,如何解决支持向量机二次规划过程中存在的瓶颈问题、如何确定核函数以及最优的核参数以保证算法的有效性等。-Support vector machine (SVM) method also exist some problems to be solved, mainly includes: how to use support vector machine (SVM) is more effective t
algorithm
- Latent SVM算法实现行人检测;需要opencv库-Latent SVM algorithm for pedestrian detection needing opencv library
SVM-GUI
- 使用支持向量机(SVM)算法进行处理数据,提取特征参数,并通过MATLAB界面显示相关数据-Using Support Vector Machine (SVM) algorithm for data processing, feature extraction parameters, and display relevant data via MATLAB interface
mysvm01
- 二维空间的SVM算法,平面内有正负1标记的两类样本,求出一条最大间隔平面将这两类点分割开来-SVM algorithm in 2 dimension space
svm
- 程序主要实现支撑向量机的算法,很方便大家学习-Procedures for the main support vector machine algorithm, is to facilitate learning