Dictionary learning: From data to sparsity via clustering

机译：字典学习：通过聚类从数据到稀疏性

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Sparse representation based image and video processing have recently drawn much attention. Dictionary learning is an essential task in this framework. Our novel proposition involves direct computation of the dictionary by analyzing the distribution of training data in the metric space. The resulting representation is applied in the domain of grey scale image denoising. Denoising is one of the fundamental problems in image processing. Sparse representation deals efficiently with this problem. In this regard, dictionary learning from noisy images, improves denoising performance. Experimental results indicate that our proposed approach outperforms the ones using K-SVD for additive high-level Gaussian noise while for the medium range of noise level, our results are comparable.

机译：基于稀疏表示的图像和视频处理近来备受关注。字典学习是此框架中的一项基本任务。我们的新颖命题涉及通过分析度量空间中训练数据的分布来直接计算字典。所得到的表示被应用于灰度图像去噪领域。去噪是图像处理中的基本问题之一。稀疏表示有效地解决了这个问题。在这方面，从嘈杂的图像中学习字典可以提高去噪性能。实验结果表明，对于加性高斯高斯噪声，我们提出的方法优于使用K-SVD的方法，而对于中等噪声水平，我们的结果具有可比性。

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《International Conference on Informatics in Control, Automation and Robotics》|2015年|635-640|共6页
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Bhatt Rajesh; Subramanian Venkatesh K.;
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Clustering algorithms; Dictionaries; Noise measurement; Noise reduction; Principal component analysis; Training; Yttrium; Clustering; De-noising; PCA; Signal Reconstruction; Sparse Representation;

机译：聚类算法;字典;噪声测量;降噪;主成分分析;训练;钇;集群;去噪PCA;信号重建;稀疏表示;

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1. A Novel Sparse Dictionary Learning Separation (SDLS) Model With Adaptive Dictionary Mutual Incoherence Constraint for fMRI Data Analysis [J] . Nizhuan Wang, Weiming Zeng, Dongtailang Chen Biomedical Engineering, IEEE Transactions on . 2016,第11期

机译：fMRI数据分析的具有自适应字典互不相关约束的新型稀疏字典学习分离（SDLS）模型
2. A Data-Driven Sparse GLM for fMRI Analysis Using Sparse Dictionary Learning With MDL Criterion [J] . Lee K., Tak S., Ye J. C. Medical Imaging, IEEE Transactions on . 2011,第5期

机译：数据驱动的稀疏GLM，用于基于MDL准则的稀疏词典学习进行fMRI分析
3. Data-driven multitask sparse dictionary learning for noise attenuation of 3D seismic data [J] . Siahsar Mohammad Amir Nazari, Gholtashi Saman, Kahoo Amin Roshandel, Geophysics: Journal of the Society of Exploration Geophysicists . 2017,第6期

机译：数据驱动的多任务稀疏字典学习3D地震数据的噪声衰减
4. Dictionary learning: From data to sparsity via clustering [C] . Bhatt Rajesh, Subramanian Venkatesh K. International Conference on Informatics in Control, Automation and Robotics . 2015

机译：字典学习：通过集群从数据到稀疏性
5. Statistical Machine Learning for Single-Cell RNA-Sequencing Data: Sparse Clustering for Cell Type Identification and Confounding Factor Removal [D] . Barron, Martin P. 2018

机译：用于单细胞RNA测序数据的统计机器学习：用于细胞类型识别和混淆因子去除的稀疏聚类
6. Cerebellar Functional Parcellation Using Sparse Dictionary Learning Clustering [O] . Changqing Wang, Judy Kipping, Chenglong Bao, 2016

机译：使用稀疏字典学习聚类的小脑功能分割
7. Cerebellar Functional Parcellation Using Sparse Dictionary Learning Clustering [O] . Wang C., J. Kipping, C. Bao, 2016

机译：使用稀疏字典学习聚类的小脑功能分割

Dictionary learning: From data to sparsity via clustering

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