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
sparse_coding
- .Sparse coding algorithm.We can also apply it onefficient sparse coding algorithm to a new machine learning framework called "self-taught learning", where we are given a small amount of labeled data for a supervised learning task, and lots of additio
code
- 稀疏编码的工具包，用matlab实现，数学上是求解l1 norm最小化-toolkit for sparse coding
SPAMS_v1.02_win32.tar
- 一种通用的稀疏编码方法，sparse coding，在图像去噪，目标识别等方面有着广泛的应用。-A generic sparse coding, sparse coding, in image denoising, object recognition have a wide range of applications.
Linear-Subspace-Learning
- A Linear Subspace Learning Approach via Sparse Coding
Robust-Sparse-Coding
- 文獻「Robust Sparse Coding for Face Recognition」 及matlab代碼-「Robust Sparse Coding for Face Recognition」 and matlab source code.
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
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
robust sparse classification code
- 本matlab程序适用于论文Robust Sparse Coding for Face Recognition
fast_sc1
- 基于patch块的稀疏编码的matlab代码的实现，涉及到基和系数最小化的优化问题-Based on patch block sparse coding matlab code to achieve that relates to the base and the coefficient minimization optimization problem
gender
- Photos with people (e.g., family, friends, celebrities, etc.) are the major interest of users. Thus, with the exponentially growing photos, large-scale content-based face image retrieval is an enabling technology for many emerging applications. In th
CaiDengcode
- 浙大蔡登，何晓飞写的降维，特征选择等机器学习的源码 包括：谱回归，降维，特征选择，主题模型，矩阵分解，稀疏编码，哈希，聚类，主动学习，矩阵学习。 是一个很好的机器学习源码资料。-cCaideng s code for Machine learning,include Spectral regression : (a regression framework for efficient dimensionality reduction) Dimensionality reduct
dna
- 一种对角牛顿法来求解非负稀疏编码问题，在原有的NNSC的算法上的进一步改进-Kind of angle Newton' s method to solve the problem of non-negative sparse coding, further improvements in the original NNSC algorithm
fast_sc
- 一个非常有效的稀疏编码的matlab代码，并附有作者的论文，希望可以帮助需要的人。(An efficient sparse coding algorithm and its original paper. We aim to help authors make their ideas spread.)
fast_sc_r2
- efficient sparse coding, fast feature sign search algorithm, convex optimization
feature_sign
- matlab快速稀疏编码 论文来源 Honglak Lee Alexis Battle Rajat Raina Andrew Y. Ng Computer Science Department Stanford University Stanford, CA 94305(Feature sign search Efficient sparse coding algorithms Honglak Lee Alexis Battle Rajat Raina Andrew Y.
HIHT
- sparse coding中HIHT的代码(the instance of the sparse coding is HIHT.)
sparse-cvpr13
- 使用迁移学习和稀疏编码来实现不同领域之间的适配，是一种基于特征表示的迁移学习(This method is designed for image clustering and classification and called sparse subspace clustering.)
sparse encoding
- 稀疏编码的例程，需要EEG数据。 包括匹配追踪和KSVD算法。