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Machine.Learning.Vision-Based.Motion
- 本书从机器学习的角度介绍了基于视觉的运动分析领域的最新算法和系统。-Techniques of vision-based motion analysis aim to detect, track, identify, and generally understand the behavior of objects in image sequences. With the growth of video data in a wide range of applications from visua
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- SVM分类器，可用于人脸识别，机器学习等。-Texture feature extraction, and classification, SVM classifier is.Can be used for face recognition, machine learning, etc.
The-application-of-svm
- 统计机器学习的支持向量机SVM在图像分割中的应用学习报告。-Statistical machine learning support vector machine SVM image segmentation study report.
OpenCv-machine-learning-document
- 介绍了在opencv里机器学习方法的实现，比较好的中文文档说明介绍，机器学习可以应用于图像处理中-In opencv machine learning methods to achieve better Chinese document explains the introduction of machine learning can be applied to image processing
machine-learning
- 这本经典书籍展现了机器学习中核心的算法和理论，是研究人员或从业人员很好地参考资料-This classic book demonstrates the core of machine learning algorithms and theory, researchers or practitioners are good references
Cracking_the_Coding_Interview_-4th
- 图像处理论文，希望对大家有帮助。都是关于模式识别和机器学习之类的-Image processing paper, we want to help. All about pattern recognition and machine learning class
ONMCBoost.ZIP
- 机器学习相关的在线学习增强学习算法，国外网站下找出来了，有兴趣的可研究一下-Machine learning related online learning reinforcement learning algorithm, the foreign website to find out, who are interested can look
C4_5
- C4.5算法是机器学习算法中的一种分类决策树算法,其核心算法是ID3算法. 分类决策树算法是从大量事例中进行提取分类规则的自上而下的决策树. -C4.5 algorithm is a machine learning algorithm, a classification decision tree algorithm, the core algorithm is ID3 algorithm classification tree algorithm is extracted from
strred
- 全参考型视频质量评价方法，基于统计和机器学习的方法，发表在2012年TIP-Full reference type video quality assessment method based on statistical and machine learning methods, published in the 2012 TIP
Manish-TMM-(1)
- 全参考型视频质量评价方法，基于机器学习和视频特征提取，发表与2012年T-FR VQA method based on machine learning and video feature
codes_smc
- 基于支撑向量机的的图像质量评价方法，结合机器学习和图像特征提取-The file feature_smc1.m is for feature extraction. It takes the reference and distorted images as input and gives the 256 dimensional feature vector as the output. models_smc_revised.mat contains the 4 models deve
RandomForest-C-version
- 随机森林是机器学习领域中一种有效的组合学习模型。在目标检测识别算法中，随机森林被证实在分类中具有很好的性能和效果。提供随机森林源码以供学习参考。-Random Forests field of machine learning is an effective combination of learning model. Target detection and recognition algorithms, random forests was confirmed in the classifi
li2nsvm_grad
- matlab实现的svm用于图像处理等，机器学习.-matlab svm pictre processing machine learning
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- FCM算法的MATLAB实现，适用于模式识别、机器学习等-FCM algorithm in MATLAB for pattern recognition, machine learning and so on. . . . . . .
ml1
- 使用matlab实现的,基础单变量以及多变量梯度下降算法,和信号分类以及信号归一化部分算法，是机器学习领域最基本的代码，希望大家多多交流-matlab implementation of basic univariate and multivariate gradient descent and signal classification algorithms, machine learning basic code, hope that more exchanges
svm
- 该程序实现机器学习中支持向量机（SVM）的功能，可以用来学习分类器。-The program realization of support vector machine learning (SVM) function, can be used to study the classifier.
KNN
- 机器学习K近邻分类算法，使用的是C++编程。如果一个样本在特征空间中的k个最相似(即特征空间中最邻近)的样本中的大多数属于某一个类别，则该样本也属于这个类别。-K-nearest neighbor classification machine learning algorithm, using the C++ programming. If a sample in feature space is k most similar (i.e., the feature space adjacent
I3DLoginDemo
- 使用三维数据库技术开发的简易示例程序，用以展示三维数据库的实际可行性。 在后期版本中还会依次加入业务逻辑、数据挖掘等相关内容，验证三维数据库在商业智能领域与机器学习领域中的潜力。 -Using three dimensional database technology to develop simple example program, used to show the practical feasibility of 3 d database. Will, in turn, in th
SVM
- 支持向量机(Support Vector Machine，SVM)是Corinna Cortes和Vapnik8等于1995年首先提出的，它在解决小样本、非线性及高维模式识别中表现出许多特有的优势，并能够推广应用到函数拟合等其他机器学习问题中。-SVM (Support Vector Machine, SVM) was Corinna ms Cortes and Vapnik8 is first proposed in 1995, it is to solve the small sample,
dimen_toolbox
- 最新最强MATLAB降维工具箱，可用于人脸识别，模式识别，机器学习，数据挖掘，图像处理等领域，里面包含的算法有PCA,LDA,KPCA,KLDA,Laplacian，LPP,MDS,NPE,SPE,LLC,CFA,MCML,LM-The latest and greatest dimension reduction MATLAB toolbox can be used for face recognition, pattern recognition, machine learning, dat