首页> 美国政府科技报告 >Sparse Representation Based Classification with Structure Preserving Dimension Reduction.

【24h】

Sparse Representation Based Classification with Structure Preserving Dimension Reduction.

机译：基于稀疏表示的结构保持降维分类。

获取原文

页面导航

著录项
相似文献
相关主题

著录项

作者
Xu, J.; Yang, G.; Yin, Y.; Man, H.; He, H.;
展开▼
作者单位

展开▼
年度 2014
页码 1-17
总页数 17
原文格式 PDF
正文语种 eng
中图分类
关键词

相似文献

外文文献
中文文献
专利

1. Sparse-Representation-Based Classification with Structure-Preserving Dimension Reduction [J] . Jin Xu, Guang Yang, Yafeng Yin, Cognitive computation . 2014,第3期

机译：基于稀疏表示的保留结构降维分类
2. L q ( q = 0.5) Regular Sparse Representation-based Classification for Image Recognition]]> [J] . Qing Li, Xia Ji, S. Y. Liang Pattern recognition and image analysis: advances in mathematical theory and applications in the USSR . 2018,第1期

机译：/ 重点键入=“斜体”> q = 0.5）定期稀疏表示的图像识别分类]]>
3. Simultaneous dimensionality reduction and dictionary learning for sparse representation based classification [J] . Yang Bao-Qing, Gu Chao-Chen, Wu Kai-Jie, Multimedia Tools and Applications . 2017,第6期

机译：同时基于降维和字典学习的稀疏表示分类
4. Research on Dimensionality Reduction based on Neighborhood Preserving Embedding and Sparse Representation [C] . WU Di, ZHAO Zheng International Conference on Information Technology for Manufacturing Systems . 2011

机译：基于保留嵌入和稀疏表示的邻域的维数减少研究
5. Sparse representation based classification: Towards efficiency and accuracy [D] . Shafiee, Soheil 2015

机译：基于稀疏表示的分类：追求效率和准确性
6. Sparse representation approaches for the classification of high-dimensional biological data [O] . Yifeng Li, Alioune Ngom 2013

机译：高维生物数据分类的稀疏表示方法
7. Noise-adjusted Sparsity-Preserving-based Dimensionality Reduction for Hyperspectral Image Classification [O] . Nam Ly, Qian Du, James E. Fowler 2015

机译：基于噪声调整稀疏度保持的高光谱图像分类维数降维

Sparse Representation Based Classification with Structure Preserving Dimension Reduction.

著录项

相似文献

相关主题

期刊订阅