搜索资源列表
Collaborative-Representation
- 稀疏表示和协同编码哪个对人脸识别起到了决定作用。在稀疏表示的人脸识别中，到底是因为稀疏表示的作用还是他们之间的协同编码起了作用。-Sparse Representation or Collaborative Representation: Which Helps Face Recognition ICCV2011
sparse-------------Image-inpainting
- 图像处理中的图像修复基于稀疏表示的原理，In image processing image based on the principle of repair sparse said-In image processing image based on the principle of repair sparse said
image-fusion
- 图像处理中图像融合的pdf格式的文章有运用可调半带对滤波器、稀疏表示以及CS原理处理的图像融合-Image processing of image fusion in PDF format articles
Super-Resolution
- 利用稀疏表示进行图像超分辨率重建经典文献-Use of compressed sensing image super-resolution reconstruction classic literature
FaceRecogTool
- 基于稀疏表示的人脸识别系统，用matlab GUI写出，运行成功-Based on sparse said face recognition system with matlab GUI write, operation success
LARS-with-LASSO-modification
- 带LASSO修正的LARS算法 稀疏表示-LARS with LASSO modification Sparse Representation
SRC
- Sparse Representation for accurate classification of corrupted and occluded facial expressions使用稀疏表示方法对有遮挡和腐蚀的人脸表情图像进行分类-Sparse Representation for accurate classification of corrupted and occluded facial expressions
KSVD-for-SAR_LOG
- 用基于稀疏表示和KSVD字典学习去噪方法在对数域对SAR图像抑斑，本方法相对于一些经典的SAR图像抑斑方法，抑斑效果大大提高。-Based on the sparse representation and KSVD dictionary learning denoising method in the logarithmic domain，we despeckle SAR image, compared with some of the
Wavelet_OMP
- 正交匹配算法，实现了 给定信号的稀疏表示。算法很好！-Orthogonal matching algorithms, realize a given signal sparse said. Algorithm is very good!
sparse-presentations
- 稀疏表示、压缩感知、压缩传感的新书--从原理到应用，2010年springer出版，对学习这一领域非常有帮助-sparse and redundant representations： from theory to applications
CRC
- 稀疏表示用，大家可以参考相关的文档来读此次程序-Sparse representation
PTandCSword
- 基于峰值变换的信号稀疏表示及重建，相关理论说明。-Sparse representation of signals based on peak transform and reconstruction, and related theoretical explanations.
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
wulianwangchepaishibian
- 物联网环境下车牌识别的稀疏表示及其应用研究-Sparse representation of the license plate recognition under the environment of the Internet of Things and its application
orl_92x112
- 这是一个用于基于稀疏表示的人脸识别图形库-This is a face recognition based on sparse representation graphics library
BMbox
- 波尔兹曼学习机,非常适合压缩感知方向和稀疏表示的同学-BM machine
KSVD-P-Sparse-Representation
- K-SVD SPARSE REPRESENTATION 基于学习的稀疏表示图像分析方法，以去噪为例。-K-SVD SPARSE REPRESENTATION
10721582R1
- 采用稀疏表示能够实现N类M个人脸的正常识别-Using sparse representation can be achieved Class N M individual normal face recognition
MaYiICIG-Theory
- 低秩矩阵与稀疏表示原理，详细的说明了用低秩矩阵与稀疏表示去分离一个有噪声的图像-The low-rank matrix with sparse principle, a detailed descr iption of the low-rank matrix with sparse to isolate a noisy image
MaYiICIG-Algorithm
- 低秩矩阵与稀疏表示算法，详细的说明了低秩矩阵与稀疏表示的算法原理-The low-rank matrix with sparse algorithm, a detailed descr iption of the low-rank matrix with sparse representation algorithm is