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gabormask
- Gabor-function convolution masks are increasingly used in image processing and computer vision. This function simply computes the cosine and sine masks for a given width, period and orientation. The masks returned are properly normalised. It is
low-rank-ksvd
- 低秩的求解 denoise an image by sparsely representing each block with the already overcomplete trained Dictionary, and averaging the represented parts. Detailed descr iption can be found in "Image Denoising Via Sparse and Redundant representations
pca
- pca: The enclosed function PCA implements what is probably the method of choice for computing principal component analyses fairly efficiently, while guaranteeing nearly optimal accuracy. The enclosed function DIFFSNORM provides an efficient, reliable
convolve2
- CONVOLVE2可以用于任何CONV2使用，采取同样的参数并返回一个小的公差范围内同样结果。加速计算是通过使用面膜中的奇异值分解，表示为外产品总结一下。这些都可以有效地计算与行和列向量的卷积。 CONV2是用来从事这项运动。 可分面具是一个特殊情况，并受CONVOLVE2处理多达FILTER2一样。许多不属于其他口罩可分低等级（如Gabor函数口罩），并更有效地处理CONVOLVE2。 该功能也将计算出降秩逼近一个给定的面具如果需要的话，将使用此是否会加速计算。一个额外
LRSD-Code
- Alternating Direction Method .Reference - Sparse and Low-Rank Matrix Decomposition via Alternating Direction Methods.-matlab code.Reference- Sparse and Low-Rank Matrix Decomposition via Alternating Direction Methods.
csi-1.0
- Predictive low-rank decomposition for kernel methods 对应的源码-Predictive low-rank decomposition for kernel methods corresponding source
TILT_v1_03
- 目前很火的基于稀疏低秩表达的TILT源码，可以实现图像的自动扳正，规则图像的自动校准-Fire based on sparse low rank expression TILT source, can achieve automatic image Righting rule automatic calibration of images
RASL-Robust-Alignment
- 此篇论文是利用稀疏低秩矩阵分解来实验的鲁棒图片的矫正。-This paper is the use of sparse low rank matrix decomposition to experimental robust image correction。
Code_LowRankSaliency
- 通过恢复低秩矩阵得到显著性图，其中详细的运用了mean-shift算法，可以很好的了解mean-shift算法的使用，同时还包含了RPCA算法。-Significantly through the recovery of low rank matrix diagram, which detailed the use of mean-shift algorithm, can be a very good understanding of the use of the mean-shift algo
dual
- Dual Method。用于实现论文" Fast Convex Optimization Algorithms for Exact Recovery of a Corrupted Low-Rank Matrix"中的算法-Dual Method. Used to implement the algorithm in the papers “Fast Convex Optimization Algorithms for Exact Recovery of a Corrupted Low-Rank
ECCV12-ShortCourse
- 稀疏低秩表示的相关代码，大家参考一下，供交流。-Sparse low rank means that the relevant code, we refer to, for the exchange.
Recovery-from-compression
- 从压缩传感,秩最小化到低秩矩阵恢复_理论与应用-Recovery from compression feel low rank matrix _ theory and application
SpaRCS
- 主要介绍了一种新的恢复算法SpaRCS，可以从压缩测量值中恢复低秩和稀疏矩阵-Introduced a new recovery algorithm SpaRCS, the measured value can be recovered from the compressed low-rank and sparse matrix
ktslr_codes
- 稀疏低秩的动态MRI成像代码，基于CPU的matlab代码版本，有代码加速优化处理-k-t SLR: Accelerated dynamic MRI using low rank and sparse penalties （CPU version: MATLAB codes）
backgroud-model2
- 针对传统背景建模存在的问题，文中基于低秩矩阵恢复原理，直接从视频序列中分离出前景物体和背景模型。已有低秩矩阵恢复算法的迭代计算过程中涉及大量的奇异值分解，而这些奇异值分解一般非常耗时且不够简洁，文中在非精确增广拉格朗日乘子法中引入线性时间奇异值分解算法，以得到更加有效的背景建模算法。基于 实际视频序列实验，结果表明该改进算法具有更好的建模效果和较少的运算时间。-In this paper，a novel method is present based on low-rank matrix r
Denoising-image-combined
- 联合矩阵F范数的低秩图像去噪。好文章供你参考。-Denoising image combined with low rank matrix F norm. Good article for your reference.
GLRA
- 计算矩阵序列的低秩近似，来至于论文一般的矩阵序列低秩近似。用matlab实现，能够有非常高的压缩率，而且能够重建原图像-We consider the problem of computing low rank approximations of matrices.
RPCA
- 基于低秩矩阵恢复的背景建模的目标检测代码-Based on the recovery of low-rank matrix background modeling target detection code
Smoothed-LRR
- 关于平滑低秩和稀疏矩阵重建的文章，附有程序代码，供大家一起研究学习，希望一起讨论学习-On smooth low rank and sparse matrix reconstruction, with the program code, for everybody to study together, hope to discuss learning
Approximate low-rank projection1
- 在文中，提出来一个基于低秩的特征提取方法(Feature extraction plays a significant role in pattern recognition. Recently, many representation-based feature extraction methods have been proposed and achieved successes in many applications. As an excellent unsupervised featu