Description: Webcam Face Tracking,real-time images from a webcam and converts them to grayscale images. Then, it extracts pre-defined feature vectors from the images and sends them to Support Vector Machine (SVM) to get the classification. Using the result, our program will be able to control the mouse cursor in real-time. -Labs WebCam Face Tracking, real-time images from a webcam and converts the m to grayscale images. Then, it extracts pre-defined feature vectors from t he images and sends them to Support Vector Machi ne (SVM) to get the classification. Using the re sult. our program will be able to control the mouse cur prosecutors in real-time. Platform: |
Size: 1693696 |
Author:po |
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Description: 这是一个采用c++编写的用于机器学习文本分类的SVM算法的实现代码。-c prepared using machine learning for text classification of SVM codes. Platform: |
Size: 1608704 |
Author:pearllu |
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Description: 利用支持向量机的分类特性，结合modis的云图像，对云相态进行分类，利用svm云相态分类算法源代码-The use of support vector machine classification of features, combined with clouds modis images of the cloud phase state classification using svm-phase state of cloud classification algorithm source code Platform: |
Size: 694272 |
Author:韩丁 |
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Description: 在分类算法研究onThe应用运行长度的车型分类研究中使用坡道SVM和K近邻-The Research of Vehicle Classification Using SVM and KNN in a ramp Platform: |
Size: 392192 |
Author:dss |
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Description: 利用SVM进行云图分类的例子，，有文章介绍，对于进行此项工作的人们很有哦-Cloud classification using SVM for example, an article describes, for the very people who carried out this work Oh Platform: |
Size: 260096 |
Author:李若彤 |
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Description: 在草图符号的自适应学习中，不同用户的训练样本数量可能不同，保持在不同样本数量下良好的学习效
果成为需要解决的一个重要问题．提出一种自适应的草图符号识别方法，该方法采用与训练样本个数相关的分类
器组合策略将模板匹配方法和SVM统计分类方法进行了高效组合．它通过利用支持小样本学习的模板匹配方法
和支持大量样本学习的SVM 方法，并同时利用草图符号中的在线信息和离线信息，实现了不同样本个数下自适应
的符号学习和识别．基于该方法，文中设计并实现了支持自适应识别的草图符号组件．最后，利用扩展的PIBG
Toolkit开发出原型系统IdeaNote．评估表明，该方法可以在24类草图符号分别使用1到2O个训练样本时具有较
高的识别正确率和较好的时间性能．-In the sketch symbol adaptive learning, the number of training samples of different users may be different, to keep the number of samples under different good learning effect
Fruit become an important issue to be resolved. The draft plan proposed an adaptive character recognition method using the number associated with the classification of training samples
Combination strategy will be the template matching method and SVM classification method was efficient statistical combination. It supports a small sample study by using a template matching method
And support a large number of samples to learn the SVM method, and sketch symbols while using online information and offline information and achieve a number of different samples of adaptive
Learning and recognition of symbols. Based on this method, the paper designed and implemented to support adaptive sketch recognition symbol components. Finally, using the extended PIBG
Toolkit developed a prototype system IdeaNote. Is shown th Platform: |
Size: 626688 |
Author:郭事业 |
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Description: 用MATLAB编写的svm源程序，可以实现支持向量机，用于特征分类或提取-MATLAB source code written using svm, support vector machine can be achieved for feature classification or extraction Platform: |
Size: 198656 |
Author:王世涛 |
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Description: 本程序包括：论文SVM 用于基于块划分特征提取的图像分类，和相应的matlab实现其中图像划分以及特征提取、聚类均利用matlab6.5完成。
-The procedures include: paper by SVM for feature extraction based on block classification, and the corresponding realization of one image into matlab, and feature extraction, clustering were done using matlab6.5. Platform: |
Size: 173056 |
Author:darren |
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Description: VC6.0编写，基于OpenCV的支持向量机分类程序，在400×400的平面上生3类随机样本点，然后给出利用SVM分类的决策面和支持向量-VC6.0 written OpenCV-based support vector machine classification procedures, the plane of 400 × 400 random samples of raw Category 3 points, and then give the decision-making surface classification using SVM and support vectors Platform: |
Size: 408576 |
Author:付刚 |
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Description: svm分类器，利用svm分类器分离的例子，数据来自UCI-svm classification using svm classifier separation example, data from UCI Platform: |
Size: 3072 |
Author:wangpin |
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Description: the code is for classification using svm for remote sensing image , please see enjoy Platform: |
Size: 6495232 |
Author:marifer100
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Description: 采用svm来做分类，一般能得到较满意的结果，但用svm做分类预测时需要调节相关的参数才能得到比较理想的预测分类准确率，那么svm的参数该如何选取？该程序主要说明如何更好地提升分类器性能。(Use svm to do the classification, the general can get more satisfactory results, but when using svm to do classification prediction need to adjust the relevant parameters in order to get the ideal prediction classification accuracy, then svm parameters how to choose? The program mainly shows how to improve the performance of classifier.) Platform: |
Size: 201728 |
Author:wj2511
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Description: matlab 开发，使用SVM方法实现印章和背景的自动分类，分类效果较好(Matlab development, using SVM method to realize automatic classification of seal and background, the effect of classification is better) Platform: |
Size: 4806656 |
Author:jun788 |
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Description: 使用Hadoop平台的Spark组件，实现机器学习分类算法SVM（支持向量机），使用的编程语言为Scala。(Using the Hadoop platform Spark components, the machine learning classification algorithm SVM (support vector machines), using the programming language for Scala.) Platform: |
Size: 1024 |
Author:九月永生 |
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Search - classification using svm