python sparsity optimization cuda admm sparse-coding dictionary-learning optimization-algorithms robust-pca fista convolutional-sparse-coding total-variation sparse-representations convolutional-dictionary-learning total-variation-minimization plug-and-play-priors Updated Apr 29, 2024 Python alphacsc / alphacsc...
Sparse coding has become an increasingly popular method in learning and vision for a variety of classification, reconstruction and coding tasks. The canonical approach intrinsically assumes independence between observations during learning. For many natural signals however, sparse coding is applied to sub-...
Computationally efficient algorithms may be applied for fast dictionary learning solving the convolutional sparse coding problem in the Fourier domain. More specifically, efficient convolutional sparse coding may be derived within an alternating direction method of multipliers (ADMM) framework that utilizes ...
摘要: Convolutional dictionary learning; Convolutional sparse representations Dictionary Learning Sparse Coding Sparse Representation Learning Convolutional sparse coding is the method of learning sparse...关键词: convolutional neural network convolutional sparse coding residual neural network mixed-scale dense ...
卷积稀疏编码(Convolutional Sparse Coding)是一种基于信号处理和机器学习的方法,用于对数据进行特征提取和表示学习。它通过将输入信号与一组稀疏滤波器进行卷积操作,从而得到一系列稀疏编码表示。这种方法在处理图像、视频和信号数据时特别有效,能够捕捉数据中的局部特征和结构信息,同时具有较强的鲁棒性和泛化能力。通过...
We then introduce a novel technique, based on convolutional sparse coding (CSC), and show how it outperforms the state-of-the-art, patch-based approach in terms of flexibility and efficiency, due to the convolutional nature of its filter banks. The key idea for CSC high-speed video ...
MambaReg: Mamba-Based Disentangled Convolutional Sparse Coding for Unsupervised Deformable Multi-Modal Image Registration 3 Nov 2024 · Kaiang Wen, Bin Xie, Bin Duan, Yan Yan · Edit social preview Precise alignment of multi-modal images with inherent feature discrepancies poses a pivotal challenge ...
addressing the stability of the sparsest solutionsand pursuit algorithms, and demonstrate practical approachesfor solving the global pursuit problem via simple local processing.Index Terms—Sparse Representations, Convolutional SparseCoding, Uniqueness Guarantees, Orthogonal Matching Pursuit,Basis Pursuit, Global...
Convolutional Sparse Coding for Image Super-Resolution. Gu S,Zuo W,Xie Q,Meng D,Feng X,Zhang L. IEEE International Conference on Computer Vision . 2015S. Gu, W. Zuo, Q. Xie, D. Meng, X. Feng, and L. Zhang, "Convolutional sparse coding for image super-resolution," in International ...
Video Rain Streak Removal by Multiscale Convolutional Sparse Coding Minghan Li, Qi Xie, Qian Zhao, Wei Wei, Shuhang Gu, Jing Tao, Deyu Meng 2018 Should We Encode Rain Streaks in Video as Deterministic or Stochastic? Wei Wei, Lixuan Yi, Qi Xie, Qian Z...