搜索资源列表
Subspace_Learning_Codes
- 流形学习代码，典型的子空间学习方法，可用于人脸识别-manifold learning code, the typical learning space, which can be used for face recognition
subspace_method_for_blind_channel_estimation
- 该程序是子空间在盲点估计的应用，开发环境是MATLAB，对学习子空间辨识算法的很有用！
SPARSKIT2.tar.gz
- 这是Yousef Saad编写的矩阵运算的Fortran软件包（A basic tool-kit for sparse matrix computations (Version 2),包含常见的排序，预处理(ILU分解等)，Krylov子空间迭代法，以及有限差分等方法得到的算例等。有不少很实用的子程序（比如稀疏矩阵相加、相乘等等，可以学习专家的设计哟！）。极力向学习大型线性方程组数值解的人推荐（不足之处就是Fortran实现，本人觉得还是C语言好）。,Yousef Saad This is pr
SubspaceLearningCodes
- 子空间学习的代码，主要包括人脸识别中常用的特征提取算法如pca lda 以及目前常见的流行学习的相关代码-Subspace learning the code, mainly including commonly used in face recognition feature extraction algorithms such as pca lda and the current prevalence of common learning-related code
ivt
- 目标跟踪,利用自我学习的子空间，此算法的最大特点是利用了粒子滤波，并且速度快-incremental basis visual tracking
RANSAC-subspaces
- MaYi博士做的多重子空间的算法代码，压缩包里包括文章和matlab代码。对于机器学习的研究者有很大作用-Robust statistical estimation and segmentation of multiple subspaces
face-recognition-algorithm
- 人脸识别 特征提取 代数特征抽取 子空间学习 投影寻踪 仿生模式识别 核方法-Face recognition feature extraction feature extraction algebra subspace projection pursuit learning pattern recognition of nuclear methods
LGE
- 线性图嵌入方法，该方法是一种基于图框架的子空间学习方法，被用于LPP,NPE等流行学习方法中。-(Regularized) Linear Graph Embedding (Provides a general framework for graph based subspace learning. This function will be called by LPP, NPE, IsoProjection, LSDA, MMP ...)
vanoverschee
- 里面有一篇关于子空间辨识的论文，并配合相应的程序代码，对学习子空间辨识很有帮助-Inside there is a subspace identification papers, and with the appropriate code on the Learning Subspace Identification ，it is very uesful.
CSRec_SP
- 子空间匹配追踪源代码。matlab实现的函数。是学习压缩感知的入门资料。-this is a matlab code of subspace pursuit algorithm .which is helpful to study CS.
ESPRIT
- 旋转子空间程序，实现DOA定位，可用于DOA的学习使用-Subspace rotation procedures to achieve DOA positioning, can be used to study the use of DOA
Generalised-nearest-feature-line
- 广义的最近邻特征线的子空间学习方法在人脸识别中的应用。-Generalised nearest feature line for subspace learning
Sparse-Embedding
- 该代码matlab所编写，实现稀疏流形子空间嵌入，可直接运行，对稀疏编码的相关学习有帮肋-The code is written matlab realize sparse subspace manifold embedding, can be run directly on the sparse coding related learning help rib
benyhmoukunaryloader
- 流形学习代码,典型的子空间学习方法,可用于人脸识别 不错的-Manifold learning code, typical subspace learning method, can be used in face recognition is good
methwd
- 流形学习代码,典型的子空间学习方法,可用于人脸识别 不错的-Manifold learning code, typical subspace learning method, can be used in face recognition is good
hieqarchyvezter
- 流形学习代码,典型的子空间学习方法,可用于人脸识别 不错的-Manifold learning code, typical subspace learning method, can be used in face recognition is good
code of transfer learning code
- 基于低秩和稀疏表达的迁移子空间学习算法的代码(A migration subspace learning algorithm based on low rank and sparse representation)
TSL
- 迁移学习中，过拟合、欠拟合、欠适配、负迁移等关键问题与挑战交错叠加。 首先，在拟合观测数据所服从的未知概率分布时存在模型的过拟合或欠拟合问题； 其次，在领域间适配不同的未知概率分布时存在模型的欠适配或负迁移问题：欠 适配是指跨领域的概率分布失配问题未能充分修正，负迁移是指辅助领域任务对 目标领域任务有负面效果。本文重点面向欠拟合、欠适配、负迁移等问题挑战， 分析原因并设计针对性的学习方法(Transfer learning involves several critical issue
IDTUYB
- 流形学习代码,典型的子空间学习方法,可用于人脸识别 不错的(Manifold learning code, typical subspace learning method, can be used in face recognition is good)
MATLAB Codes for Dimensionality Reduction
- 子空间学习方法工具箱，包含PCA、LDA、LLE、ISOMAP等经典子空间分析方法(Subspace learning method toolbox, including classical subspace analysis methods such as PCA, LDA, LLE, ISOMAP and so on)