搜索资源列表
spams-matlab-v2.2.tar
- 基于字典学习的稀疏编码，最新的版本，可以用于 window Linux和MacOs-Sparse Coding on Dictionary Learning，the new version. it can be applied to the windows, Linux and Mac
fast_sc.rar
- 稀疏编码的算法，运行请阅读readme文件，很简单,Sparse coding algorithmsrun matlab and execute: "demo_fast_sc(1)": epsilon-L1 sparsity penalty "demo_fast_sc(2)": L1 sparsity penalty
KSVD
- 图像稀疏编码的一种方法，可用于基于稀疏表示的图像压缩、去噪等-Sparse image coding method can be used for sparse representation-based image compression, denoising, etc.
CVPR09-ScSPM
- 基于稀疏编码和线性塔式匹配的图像分类算法。-This package contains the Matlab codes implementing the ScSPM algorithm described in CVPR 09 paper "Linear Spatial Pyramid Matching using Sparse Coding for Image Classification".
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
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.
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
KSVD_Matlab_ToolBox
- 稀疏编码，去噪，奇异值分解 MATLAB-Sparse coding, denoising, singular value decomposition MATLAB
Image-Coding-Contourlet
- Contourlet Image Coding-Image Coding via Sparse Contourlet Representation
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.
L1-APG_release
- 最早将稀疏编码技术引入视频图像跟踪的L1跟踪器，2012年求解稀疏编码算法采用了新的计算方法。-The earliest will be sparse coding techniques L1 tracker, the introduction of the video image tracking the to solving sparse coding algorithm using a new calculation method in 2012.
Sparse-Code
- 几种经典的稀疏编码算法的C语言实现，非常实用，有助于理解算法-Several classic sparse coding algorithm C language, very practical help to understand algorithm
ICCV-Tutorial-on-Sparse-Coding
- ICCV会议的一个关于稀疏表示的教程，里面包含较为详细的理论知识，大牛的讲解让人通俗易懂-A ICCV meeting on tutorial sparse representation, which contains more detailed theoretical knowledge, to explain the straightaway
SRR-based-on-spare-coding
- 基于稀疏表示的超分辨率图像重建硕士论文，一共六篇，比较全面的介绍了基于稀疏表示的超分辨重建的方法以及详细的实现步骤，是比较好的入门资料-the master s thesis of Super-resolution image reconstruction based on sparse coding , a total of six, a more comprehensive descr iption of the super-resolution reconstruction method
Sparse Concept Coding for Visual Analysis
- Sparse Concept Coding for Visual Analysis
CVPR08-SR
- 利用稀疏表示原理来进行单幅影像超分辨重建(use sparse representation to single image super resolution)
BPFA_Denoising
- 利用非参数贝叶斯字典学习模型进行图像稀疏表示(use non-parametric-bayesian-dictionary-learning-for-sparse-image-representations)
LRT_Code
- 目标追踪。低秩稀疏编码学习，稀疏编码，sift(virsual tracking,Target tracking,,low rank sparse coding learning, sparse coding,,sift features)
ScSR
- 杨建超的将稀疏表达用于图像超分辨率重建的文章赋代码(Example matlab code for the algorithm proposed in "Image super-resolution via sparse representation" TIP 2010.)