Results 281 to 290 of about 724,897 (308)
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Sparse Autoencoder for Sparse Code Multiple Access
2021 International Conference on Artificial Intelligence in Information and Communication (ICAIIC), 2021In the forthcoming 5G technology, Sparse Code Multiple Access (SCMA) is the most promising scheme that aims at improving spectral efficiency further and providing massive connectivity. The challenge behind implementing SCMA scheme is: constructing optimized codebooks in order to obtain minimum BER while keeping the receiver complexity minimum.
Medini Singh +2 more
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Non-linear sparse and group sparse classifier
2013 26th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), 2013Recently there has been an interest in a new classification model, where it is assumed that the training samples for a particular class form a linear basis for any new test sample belonging to that class. This assumption led to two successful classification methods called the Sparse Classifier (SC) and the Group Sparse Classifier (GSC).
Angshul Majumdar, Rabab K. Ward
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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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IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
Shiping Wang, Shide Du, Zhaoliang Chen
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Shiping Wang, Shide Du, Zhaoliang Chen
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Laplacian Sparse Coding, Hypergraph Laplacian Sparse Coding, and Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013Ivor Wai-Hung Tsang +2 more
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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, 2013Weisheng Dong
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