A Comparative Study of Sparsity Promoting Techniques in Neural Network for Modeling Non-Linear Dynamics by Emil Johannesen Haugstvedt, Alberto Mino Calero, Erlend Torje Berg Lundby, Adil Rasheed, Jan Tommy Gravdahl

“…Sparsity-promoting techniques show promising results in improving the generalization of neural networks. …”
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Sparsity in an artificial neural network predicts beauty: Towards a model of processing-based aesthetics. by Nicolas M Dibot, Sonia Tieo, Tamra C Mendelson, William Puech, Julien P Renoult

“…However, we also found that sparsity is either positively or negatively correlated with beauty across the multiple layers of the DCNN. …”
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Graph-Regularized, Sparsity-Constrained Non-Negative Matrix Factorization with Earth Mover’s Distance Metric by Shunli Li, Linzhang Lu, Qilong Liu, Zhen Chen

Subjects: “…<i>L</i>_1/2 sparsity-constrained…”
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Sparsity Regularization-Based Real-Time Target Recognition for Side Scan Sonar with Embedded GPU by Zhuoyi Li, Deshan Chen, Tsz Leung Yip, Jinfen Zhang

“…The method introduces efficient feature encoders that strengthen the representation of feature maps. Channel-level sparsity regularization in model training is performed to speed up the inference performance. …”
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Synthetic Aperture Radar Target Feature Extraction and Recognition Based on Improved Sparsity Preserving Projections by HAN Ping, WANG Huan

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Multi-Level Graph Neural Network With Sparsity Pooling for Recognizing Parkinson&#x2019;s Disease by Xiaobo Zhang, Yuxin Zhou, Zhijie Lu, Donghai Zhai, Haonan Luo, Tianrui Li, Yang Li

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Efficient Blind Source Separation Method for fMRI Using Autoencoder and Spatiotemporal Sparsity Constraints by Muhammad Usman Khalid, Bilal A. Khawaja, Malik Muhammad Nauman

“…These steps also make ssBSS unique because, to the best of my knowledge, no mixing matrix based BSS method incorporates sparsity of both features and a multilayer network structure. …”
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Experimental Validation of Entropy-Driven Swarm Exploration under Sparsity Constraints with Sparse Bayesian Learning by Christoph Manss, Isabel Kuehner, Dmitriy Shutin

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Adaptive Line Enhancer Based on Maximum Correntropy Criterion and Frequency Domain Sparsity for Passive Sonars by Nan Zhang, Liang An, Yun Yu, Xiaoyan Wang

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Models and algorithms of brain connectivity, spatial sparsity, and temporal dynamics for the MEG/EEG inverse problem by Lamus Garcia Herreros, Camilo

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Exploiting sparsity in time-of-flight range acquisition using a single time-resolved sensor by Kirmani, Ahmed, Colaco, Andrea B., Wong, Franco N. C., Goyal, Vivek K.

“…Then, a convex optimization that exploits sparsity of the Laplacian of the depth map of a typical scene determines correspondences between spatial positions and depths. …”
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Sparsity-Driven Synthetic Aperture Radar Imaging: Reconstruction, autofocusing, moving targets, and compressed sensing by Cetin, Mujdat, Stojanovic, Ivana, Onhon, Ozben, Varshney, Kush, Samadi, Sadegh, Karl, William Clem, Willsky, Alan S.

“…This article presents a survey of recent research on sparsity-driven synthetic aperture radar (SAR) imaging. …”
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Sparsity-based image inpainting detection via canonical correlation analysis with low-rank constraints by Jin, Xiao, Su, Yuting, Zou, Liang, Wang, Yongwei, Jing, Peiguang, Wang, Z. Jane

“…Compared with other types of inpainting, sparsity-based inpainting exploits more general prior knowledge and has a broader application scope. …”
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Highly accelerated vessel-selective arterial spin labelling angiography using sparsity and smoothness constraints by Schauman, SS, Chiew, M, Okell, TW

“…<p><strong>Results:</strong></p> Relative sparsity was established as a primary factor governing the reconstruction fidelity. …”

Modeling ideological salience and framing in polarized online groups with graph neural networks and structured sparsity by Hofmann, V, Dong, X, Pierrehumbert, J, Schuetze, H

“…Our architecture combines graph neural networks with structured sparsity learning and results in representations for concepts and subreddits that capture temporal ideological dynamics such as right-wing and left-wing radicalization.…”

Multisource Sparse Inversion Localization with Long-Distance Mobile Sensors by Jinyang Ren, Peihan Qi, Chenxi Li, Panpan Zhu, Zan Li

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Reconstruction of Undersampled Big Dynamic MRI Data Using Non-Convex Low-Rank and Sparsity Constraints by Ryan Wen Liu, Lin Shi, Simon Chun Ho Yu, Naixue Xiong, Defeng Wang

“…In particular, to overcome the inherent speed limitation, both non-convex low-rank and sparsity constraints were combined to accelerate the dynamic imaging. …”
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Spatio-Temporal Field Estimation Using Kriged Kalman Filter (KKF) with Sparsity-Enforcing Sensor Placement by Venkat Roy, Andrea Simonetto, Geert Leus

Subjects: “…sparsity…”
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Thick Cloud Removal of Remote Sensing Images Using Temporal Smoothness and Sparsity Regularized Tensor Optimization by Chenxi Duan, Jun Pan, Rui Li

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Off-Grid Direction of Arrival Estimation Based on Joint Spatial Sparsity for Distributed Sparse Linear Arrays by Yujie Liang, Rendong Ying, Zhenqi Lu, Peilin Liu

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