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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
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- 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
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
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
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