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- 计算机图形处理的软件，candy算法是当今最很流行的一种算法。同学可以自己在源代码中学习到新的知识。-computer graphics software, candy algorithm is the most popular day of an algorithm. Students can in the source code to learn new knowledge.
gentleBoost.rar
- 当前流行的机器学习算法之一：boosting的变体——Gentleboost,The current popular one of machine learning algorithms: boosting variants- Gentleboost
vlfeat-0.9.7.tar
- 目前国外比较流行的关于mser和siht的算法，大家可以学习学习-Now more popular abroad and siht on mser algorithm, we can learn to learn
adaboost
- AdaBoost程序 Boosting是近年来流行的一种用来提高学习算法精度的方法。以 AdaBoost算法为例介绍了 Boosting算法 。-Boosting daBoost program in recent years a popular learning algorithm is used to improve the accuracy of the method. AdaBoost algorithm to an example introduced the Boosting alg
Image
- 一款流行的上传图片..带剪切功能希望能帮助大家..学习-Upload pictures .. a popular feature with a cut .. hope to help you learn Oh
lerning
- 基于流行学习的 图像处理 流行学习是近年图像领域比较新的方向-Learning image processing based on the popular popular area of study is relatively new in recent years, the direction of the image
lle
- 局部线性嵌入，是一种流行学习的算法，可以学习任意维数的低维流形-locally linear embedding is a algorithm of manifold learning, it can be used to learn arbitrary dimension of low dimensional manifold
Mmmanifolda
- 一个Matlab环境下编写的流行学习（manifold)算算法，可用于图像特征提取及行为模式提取，已通过测试。 -Popular learning (manifold) written in a Matlab environment operator algorithm for image feature extraction and pattern of behavior extraction, has been tested.
Sparse-Representation-
- 文献“Sparse Representation based Fisher Discrimination Dictionary”及其对应的matlab代码，稀疏学习是目前非常流行的方法，希望对大家有所帮助-a paper named Sparse Representation based Fisher Discrimination Dictionary and its matlab code
0LearningDeformableShapeManifolds
- 学习可变形状流行学习代码，实现可变形状的特征提取与流行匹配，代码通过实际环境测试，可以运行-Learning deformable shape manifolds, which can be used in deformable shape features extraction and manifolds match
Classification-of-Hyperspectral-Data
- 本文使用深度学习对高光谱图像进行分类，深度学习是近些年比较流行的一种算法。目前处于前沿-Deep Learning-Based Classification of Hyperspectral Data
Hyperspectral-Data-Classification
- 基于主动学习的高光谱遥感图像分类，主动学习方法也比较流行，新颖。-An Active Learning Approach toHyperspectral Data Classification
CSR_Denoising
- 该算法首先通过字典学习得到含噪图像的冗余字典，然后对相似的图像块进行聚类构成块群，并通过迭代收缩和L1正则化约束，对同类的图像块在字典上进行稀疏表示，以达到降噪的目的。实验结果表明，在常规的图像处理上，本文提出的算法能较好的保留图像的结构信息，与K-SVD和BM3D等现有的流行算法相比，具有更高的峰值信噪比（PSNR）-It firstly get the redundant dictionary of a noised image by dictionary learning.Then,the