搜索资源列表
DCVS2009_Kang
- 基于Matlab的压缩感知视频编码程序。DCVS的最新理论算法程序。稀疏矩阵采用BWHT(沃尔什-哈达玛矩阵)，重构算法用GPSR。-Matlab-based video compression perceptual coding process. DCVS the latest theoretical algorithm program. Sparse matrix with BWHT (Walsh- Hadamard matrix), reconstruction algorithm wit
RSC
- 强壮的人脸识别系统，发表于cvpr2011年，程序是应用matlab实现-Recently the sparse representation (or coding) based classifi cation (SRC) has been successfully used in face recognition. In SRC, the testing image is represented as a sparse linear combination of the trai
5
- 是一篇关于多层次稀疏编码网络的学习，欢迎大家下载。-Is a multi-layer sparse coding on the network to learn, are welcome to download.
LDPCdecoding11
- 标准的LDPC码的编码方法为基于稀疏校验矩阵的-Standard LDPC codes based on sparse coding method for the calibration matrix
CVPR09-ScSPM
- 基于空间金字塔匹配的稀疏编码，用于图像检索和图像识别。-Spatial pyramid matching based on sparse coding for image retrieval and image recognition.
sapa2004
- Separation of Sound Sources by Convolutive Sparse Coding
Linear-Subspace-Learning
- A Linear Subspace Learning Approach via Sparse Coding
RSC
- 人脸识别的稀疏表示识别方法将稀疏表示的保真度表示为余项的L2范数，但最大似然估计理论证明这样的假设要求余项服从高斯分布，实际中这样的分布可能并不成立，特别是当测试图像中存在噪声、遮挡和伪装等异常像素，这就导致传统的保真度表达式所构造的稀疏表示模型对上述这些情况缺少足够的鲁棒性。而最大似然稀疏表示识别模型则基于最大似然估计理论，将保真度表达式改写为余项的最大似然分布函数，并将最大似然问题转化为一个加权优化问题-Recently the sparse representation (or codin
Sparse-Coding
- spare representation 或者压缩传感的经典文章-spare representation or Compression sensor s classic article
u3vw1x.ZIP
- 基于图像导数框架和非负稀疏编码的颜色恒常计算方法Based on image derivative frame and the non negative sparse coding of color constancy computation method-Based on image derivative frame and the non negative sparse coding of color constancy computation method
KSVD_Matlab_ToolBox
- 稀疏编码，去噪，奇异值分解 MATLAB-Sparse coding, denoising, singular value decomposition MATLAB
Secure-Network-Coding
- 基于稀疏矩阵的低复杂度安全网络编码算法 ：针对安全网络编码复杂度较大的问题，提出一种基于稀疏矩阵的安全网络编码算法。利用稀疏矩阵占用较少的存储空间和运算速 度快的优点，在信源处将信源信息与稀疏矩阵进行矩阵变换操作，使得随机网络编码能以较高的概率达到信息论安全的要求。仿真结果表 明，该算法能提高编解码速率，降低复杂度，减少存储空间。-Low-complexi Secure Network Coding Algorithm Based 0n Sparse M atrix
LSL_SC
- 參考文獻「A Linear Subspace Learning Approach via Sparse Coding」and matlab code. Using Sparse Coding.-「A Linear Subspace Learning Approach via Sparse Coding」and matlab code. Using Sparse Coding.
paper1
- 一种基于稀疏编码的多核学习图像分类方法.pdf-Based on sparse coding the multicore learning image classification method. Pdf
Image-Coding-Contourlet
- Contourlet Image Coding-Image Coding via Sparse Contourlet Representation
FastLaplace
- 压缩感知的快速Laplace恢复算法,算法适用于超完备字典-the Beyes recovery algorithms are similar to the sparse coding based on the over-complete dictionary.
k_svd1
- K-SVD同MOD一样也分为Sparse Coding和Dictionary Update两个步骤，Sparse Coding没有什么特殊的，也是固定过完备字典D，使用各种迭代算法求信号在字典上的稀疏系数。-K-SVD Sparse Coding and Dictionary Update is also divided into two steps, like MOD, Sparse Coding is not anything special, also fixed overcomplete
CVPR-ScSPM
- Linear Spatial Pyramid Matching Using Sparse Coding for Image Classification
CVPR09-ScSPM
- Linear Spatial Pyramid Matching Using Sparse Coding 图像分类实现代码-Linear Spatial Pyramid Matching Using Sparse Coding image classification implementation code
harandi_cvpr_2011_matlab
- 2012 ECCV 稀疏编码和 字典学习- Sparse Coding and Dictionary Learning for Symmetric Positive Definite Matrices: A Kernel Approach. European Conference on Computer Vision (ECCV), pp. 216-229, 2012.