Results 241 to 250 of about 391,798 (266)
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Removal of sparse noise from sparse signals
Signal Processing, 2019Abstract In this paper, we propose two methods for signal denoising where both signal and noise are sparse but in different domains. First, an optimization problem is proposed which is non-convex and NP-hard due to the existence of l0 norm in its cost function. Then, we propose two approaches to approximate and solve it.
Nematollah Zarmehi, Farokh Marvasti
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In Defense of Sparse Tracking: Circulant Sparse Tracker
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016Sparse representation has been introduced to visual tracking by finding the best target candidate with minimal reconstruction error within the particle filter framework. However, most sparse representation based trackers have high computational cost, less than promising tracking performance, and limited feature representation.
Tianzhu Zhang 0001 +2 more
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Local Manifold-Based Sparse Discriminant Learning for Feature Extraction of Hyperspectral Image
IEEE Transactions on Cybernetics, 2021Yule Duan, Zhengying Li, Hong Huang
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Sparse Distributed Memory for Sparse Distributed Data
2022Ruslan Vdovychenko, Vadim Tulchinsky
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Nonlocally Centralized Sparse Representation for Image Restoration
IEEE Transactions on Image Processing, 2013, Weisheng Dong
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Laplacian Sparse Coding, Hypergraph Laplacian Sparse Coding, and Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013Ivor Tsang +2 more
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Image Super-Resolution Via Sparse Representation
IEEE Transactions on Image Processing, 2010John Wright, Jianchao Yang
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The university of Florida sparse matrix collection
ACM Transactions on Mathematical Software, 2011Yifan Hu, Davistimothy A
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