搜索资源列表
spinterp_v5.1.1
- 稀疏网格插值工具包,帮助学习稀疏网格插值及测试插值性能。-sparse grid interpolation toolbox
Matlab-Package-Sparse
- 这是Sparse and Redundant Representations From Theory to Applications in Signal and Image Processing书中对应的实现程序,对理解书中所讲理论有很好的帮组,这本书是学习稀疏编码和压缩感知的一本很好的书-Sparse and Redundant Representations From Theory to Applications in Signal and Image Processing book cor
SAE
- 深度学习中稀疏编码的C语言程序,是根据斯坦福深度学习的教程MATLAB的代码改写的-Depth learning sparse coding in C language program is based on the Stanford deep learning tutorial MATLAB code rewrite
MSBL_code
- 稀疏贝叶斯学习是一种很好压缩感知,信号恢复方法。-sparse bayesian learning is a good cs method for coefficient recovery.
Exercise1-Sparse-Autoencoder
- 网址:http://deeplearning.stanford.edu/wiki/index.php/Exercise:Sparse_Autoencoder斯坦福深度学习的教程,这个是稀疏编码的的练习,可以直接运行-URL: http://deeplearning.stanford.edu/wiki/index.php/Exercise:Sparse_Autoencoder Stanford deep learning tutorial, this is a sparse coding exer
multi-dictionary-learning
- 燕京大学硕士论文,关于稀疏编码,涉及到多层字典学习算法,很优秀的论文-Yenching University Master' s thesis on sparse coding, involving multi-dictionary learning algorithm, very good papers
sparse_pca_iccv
- 稀疏的主成分分析基本概念,很好地学习这方面基本知识的材料-sparse Principal component analysis basic concepts, a good basic knowledge of learning materials in this regard
spams-matlab-v2.3-svn2013-06-20.tar
- SPAMS稀疏优化工具、新版,在线字典学习算法-SPAMS sparse optimization tools, the new version,
ImprovedDL
- 这是一篇SCI文章《改善字典学习:多字典更新和系数重用》里的Matlab代码,包含了OMP、Batch-OMP、CoROMP等匹配跟踪算法代码以及改进的K-SVD字典学习算法代码,是图像稀疏表示研究方向重要的源代码,有助于大家学习和改进。-This file folder reproduces the Figures for paper:"Improving Dictionary Learning: Multiple Dictionary Updates and Coefficient Reus
HaarPSRC=Vehicle-detection
- 运用harr特征+SRC(稀疏表示)分类实现的一种车辆检测方法,文件中提供了训练和测试车辆图片。由于时间原因,所用haar特征没有优化,维度过高,导致滑窗框图过慢,本代码只输出效果统计数据,以供大家参考学习稀疏表示在车辆检测中的应用。-Using harr feature+SRC (sparse representation) classification to achieve a vehicle detection method, the paper provides a training a
Analysis-KSVD-IEEE-TSP
- 稀疏字典学习的K-SVD法介绍的论文,是算法的理论基础。-Sparse Dictionary Learning K-SVD method presented papers, the theoretical basis of the algorithm.
Image-and-Redundant
- 通过稀疏和冗余图像去噪在学习词典下的表示-Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries
focuss
- focuss算法 关于图像稀疏性分解中字典学习的经典算法-focuss on the image sparse decomposition algorithm in the classical dictionary learning algorithms
KSVD
- 本程序可用于字典学习,稀疏编码,包含MOD,OMP函数-DICTIONARY LEARNING
PCA
- 针对稀疏表示识别方法需要大量样本训练过完备字典且特征冗余度较高的问题,提出了结合过完备字典学习与PCA降维的小样本语音情感识别算法.该方法首先用PCA降维方法将特征降维,再将处理后的特征用于过完备字典训练与稀疏表示识别方法,从而给出了语音情感特征的稀疏表示方法,并确定了新算法的具体步骤.为验证其有效性,在同等特征维数下,将方法与BP, SVM进行比较,并对比、分析语音情感特征稀疏化前后对语音情感识别率、时间效率以及空间效率的影响.试验结果表明,所提出方法的识别率比SVM与BP高 与采用稀疏化前的
cross_list
- 数据结构中的稀疏矩阵十字链表类,代码注释齐全,可供初学者学习使用。-Dish sparse matrix data structure Cross Chain category, code complete notes for beginners to learn to use.
Matlab-code-for-CS-reocvery
- 很适合于学习的常用的稀疏恢复算法例程,包括basis pursuit,CoSaMP,GBP,OMP,TVeq等算法。-Very suitable for learning sparse recovery algorithms, including basis pursuit, CoSaMP, GBP, OMP, TVeq algorithm.
AnalysisKSVD
- 稀疏表示,字典学习,初学者,KSVD-Sparse representation dictionary learning, beginners, KSVD etc.
compresseive-sensing-dct_cs
- 压缩感知中常用的DCT基,用来对图像进行稀疏化处理的,可供初学者学习参考-DCT compressed sensing commonly used base for sparse image processing, for beginners to learn reference
KSVD
- 稀疏表示中字典学习算法KSVD的实现,可以得到冗余字典,代码内部有详细注释-The realization of the sparse representation of a dictionary learning algorithm KSVD, can get a redundant dictionary, internal has a detailed code comments