搜索资源列表
SRC
- Sparse Representation for accurate classification of corrupted and occluded facial expressions使用稀疏表示方法对有遮挡和腐蚀的人脸表情图像进行分类-Sparse Representation for accurate classification of corrupted and occluded facial expressions
SolvePFP
- 图像等运用稀疏表示的方法进行计算识别和分类-Images using sparse representation method to calculate identification and classification
- 对场景分类和语义特征稀疏化的高层图像表示-Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification
Sparse_Representations_classifier
- 一个常用的稀疏表示分类器，SRC分类器，用于信号或图像分类，需共同配合CVX运行，可见示例example.m。-Applying for Sparse Representaion Classification with the method SRC， cooperating with the CVX file. See example.m for a trying run.
SRC
- 稀疏编码能够快速，准确，低代价地表示自然图像的视觉神经方面的能力，把稀疏编码的方法运用到分类中的机器学习方法，就叫做SRC。此处提供SRC算法代码。-Sparse coding has the rapid, accurate and low cost ability to display natural images. The method of sparse coding is applied to the classification of machine learning methods
EA-SRC
- 利用超限学习机（ELM）和稀疏表示(SRC)进行图像分类。Matlab完整源码。-Extreme learning machine and adaptive sparse representation for image classification
ksvdsbox11-min
- KSVD 算法 K-SVD通过构建字典来对数据进行稀疏表示，经常用于图像压缩、编码、分类等应用(KSVD algorithm K-SVD sparse data is represented by building dictionaries, often used for image compression, coding, classification, and other applications)
eccv10_tutorial_part2
- 稀疏编码图像分类, 稀疏表示创始人写的PPT,内容精彩,分析清晰,易于理解(sparse coding image classification, PPT written by the original author of sparse representation, the PPT content is easy to realize with clear illustration and analysis.)
RSC
- 只要是使用稀疏表示方法进行的图像分类，非常有用！(It is useful as long as it is an image classification using the sparse representation method!)
AnalysisKSVDbox
- K-SVD可以看做K-means的一种泛化形式，K-means算法总每个信号量只能用一个原子来近似表示，而K-SVD中每个信号是用多个原子的线性组合来表示的。 K-SVD通过构建字典来对数据进行稀疏表示，经常用于图像压缩、编码、分类等应用。(K-SVD can be regarded as a generalized form of K-means. The total K-means algorithm can only approximate one signal for each sem
Fisher字典学习
- 基于稀疏表示的高光谱图像分类的Fisher字典学习方法matlab代码(Hypersynthetic image classification based on sparse representation in Fisher dictionary learning matlab code.)
Indian
- 使用基于词典的稀疏表示高光谱图像分类,多任务联合稀疏表示和逐步MRF优化的高光谱图像分类(Dictionary-based sparse representation hyperspectral image classification, multi-task joint sparse representation and stepwise MRF optimized hyperspectral image classification)
SRC_SOMP_matlab-master
- 稀疏表示分类器应用于高光谱图像分类的MATLAB代码实现(MATLAB Code Implementation of Sparse Representation Classifier for Hyperspectral Image Classification)