搜索资源列表
Principles
- 选择稀疏表达算法的字典时的一般原则，外文文章
CS_OMP.rar
- CS_OMP.rar - 压缩传感，压缩感知，压缩采样，稀疏表达，稀疏表示，的入门例子
code-for-src
- 稀疏表达人脸识别算法相关例程,并附带l1magic PDF文档-src face recognition
Tutorial
- 压缩传感，压缩感知，压缩采样，稀疏表达，稀疏表示，的入门介绍，自己精心搜集的ppt，pdf资料，助你轻松入门-compressive sening compressed sensing
cs_cvx
- 压缩传感，压缩感知，压缩采样，稀疏表达，稀疏表示，的入门例子-compressive sensing, compressed sensing
Sparse_and_Redundant_Representations_From_Theory_t
- 有关稀疏表达的书，http://www.cs.technion.ac.il/~elad/index.html中有介绍-Expressed about the book sparse, http://www.cs.technion.ac.il/ ~ elad/index.html described in
1
- 稀疏表达：向量、矩阵与张量.doc，对于学习压缩感知、稀疏表示的人有帮助-Sparse expression: Vector, matrix and tensor. Doc, for learning compressed sensing, sparse representation of the people to help
worddetectinvideo
- 基于稀疏表达的视频文字检测方法 ：针对传统视频文字检测方法存在效率较低、计算复杂、精确度不高的不足，提出一种视频文字检测方法，通过基于边缘密度和连 通域分析的文字粗检测得到候选文本行，利用稀疏表达分类产生的过完备词典进行文字行验证。实验结果表明，该方法具有较好的检测性 能，可以应用于视频检索系统。-Expression based on sparse video text detection method: video text detection method for the exis
Compressive_sensing_
- 压缩传感，压缩感知，压缩采样，稀疏表达，稀疏表示，的入门例子-compressive sensing compressed sensing-compressive sensing compressed sensing
Fast-Discrete-Curvelet-Transforms
- 快速曲线波变换理论属于稀疏表达的范畴，采用基函数与信号的内积形式实现信号的稀疏表示。-An Alogrithm for Multimodal Biometric Recognition Based on Feature Level and the Second-Generation Curvelet Transform
Image-restoration-algorithms
- 基于稀疏表达的图像恢复算法研究 对于研究图像恢复的程序员来说是一篇不错的参考文章-Image restoration algorithms based on sparse expression
SparseRepresentationaItsApplication
- 稀疏表达及其应用的简单介绍，其中涵盖了稀疏表示、特征提取、压缩感知、图像增强、盲源分离、模式分类、目标跟踪和图像超分辨等。PPT和PDF是对应的，并添加了可视化的结果。-Sparse Representation and Its Application: Compressive Sensing, Visual Feature, Image Enhancement, Blind Source Separation, Pattern Classification, Object Tracking a
FaceRecognitionTool
- 基于稀疏表达的包含测试和训练人脸的数据库的鲁棒性人脸识别-Sparse expression includes testing and training human face recognition database robustness
xishubiaoda
- 这是目标模型的稀疏表达的MATLAB版源码。希望对目标跟踪的朋友有帮助。-It is the expression of the target model MATLAB sparse source version. I hope to help a friend target tracking.
Sparse-Leaning
- 基于稀疏学习理论对人脸表情分析中灰度、局部二值模式、C}abor等不同面部特征的稀疏表达问题进行了研究。首先，对稀疏表达、K-S V D以及D-KSVD等稀疏学习算法进行了分析 接着，在JAFFF人脸表情数据库上对不同算法进行了表情识别实验。-Facial Expression Recognition Based on Sparse Leaning
compressive-sensing-singal
- 压缩感知的主要研究内容有信号的稀疏表达、观测矩阵的设计和信号恢复。精确的信号恢复算法是压缩感知中的关键。因此本文在压缩感知理论框架下研究恢复算法中的凸优化算法- Compressive sensing offers a variety of research fields, including signal sparse representation, sensing matrix design, signal reconstruction. Accurately signal reconstr
Solvers
- 各种稀疏表达，求优化问题，代入数据后可直接运行。-sparse representation
code of transfer learning code
- 基于低秩和稀疏表达的迁移子空间学习算法的代码(A migration subspace learning algorithm based on low rank and sparse representation)
spams-matlab
- matlab里的稀疏表达工具包 src算法 字典学习工具等等功能(Matlab sparse expression toolkit, SRC algorithm, dictionary learning tools, and so on)
NCSR
- 中心稀疏表达去除高斯噪声，iccv会议论文源码，内含文献，原文题目Centralized Sparse Representation for Image Restoration(Centralized Sparse Representation for Image Restoration)