An Image Focusing Method for Sparsity-Driven Radar Imaging of Rotating Targets by Ngoc Hung Nguyen, Kutluyıl Doğançay, Hai-Tan Tran, Paul Berry

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Sparsity-Aware DOA Estimation Scheme for Noncircular Source in MIMO Radar by Xianpeng Wang, Wei Wang, Xin Li, Qi Liu, Jing Liu

“…In this paper, a novel sparsity-aware direction of arrival (DOA) estimation scheme for a noncircular source is proposed in multiple-input multiple-output (MIMO) radar. …”
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Adaptation of Autoencoder for Sparsity Reduction From Clinical Notes Representation Learning by Thanh-Dung Le, Rita Noumeir, Jerome Rambaud, Guillaume Sans, Philippe Jouvet

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StarSPA: Stride-Aware Sparsity Compression for Efficient CNN Acceleration by Ngoc-Son Pham, Sangwon Shin, Lei Xu, Weidong Shi, Taeweon Suh

“…The presence of sparsity in both input features and weights within convolutional neural networks offers a valuable opportunity to significantly reduce the number of computations required during inference. …”
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SparseRT: Accelerating Unstructured Sparsity on GPUs for Deep Learning Inference by Wang, Ziheng

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Flows, Submodularity, Sparsity, and Beyond: Continuous Optimization Insights for Discrete Problems by Axiotis, Kyriakos

“…This leads to improving the sparsity guarantee of one of the most well known sparse optimization algorithms, IHT.…”
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HighLight: Efficient and Flexible DNN Acceleration with Hierarchical Structured Sparsity by Wu, Yannan, Tsai, Po-An, Muralidharan, Saurav, Parashar, Angshuman, Sze, Vivienne, Emer, Joel

“…This paper introduces hierarchical structured sparsity (HSS), with the key insight that we can systematically represent diverse sparsity degrees by having them hierarchically composed from multiple simple sparsity patterns. …”
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Sparsity Maximization under a Quadratic Constraint with Applications in Filter Design by Wei, Dennis, Oppenheim, Alan V.

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Regularizing GRAPPA using simultaneous sparsity to recover de-noised images by Goyal, Vivek K., Polimeni, Jonathan R., Grady, Leo, Wald, Lawrence L., Adalsteinsson, Elfar, Weller, Daniel Stuart

“…This novel combination of GRAPPA and CS regularizes the GRAPPA kernel computation step using a simultaneous sparsity penalty function of the coil images. This approach can be implemented by formulating the problem as the joint optimization of the least squares fit of the kernel to the ACS lines and the sparsity of the images generated using GRAPPA with the kernel.…”
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Image restoration via reconciliation of group sparsity and low-rank models by Zha, Zhiyuan, Wen, Bihan, Yuan, Xin, Zhou, Jiantao, Zhu, Ce

“…Image nonlocal self-similarity (NSS) property has been widely exploited via various sparsity models such as joint sparsity (JS) and group sparse coding (GSC). …”
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Modelling sparsity, heterogeneity, reciprocity and community structure in temporal interaction data by Miscouridou, X, Caron, F, Teh, Y

Tensor-sparsity of solutions to high-dimensional elliptic partial differential equations by Dahmen, W, DeVore, R, Grasedyck, L, Süli, E

“…Since these results require knowledge of the eigenbasis of the elliptic operator considered, we propose a second “basis-free” model of tensor-sparsity and prove a regularity theorem for this second sparsity model as well. …”

A chordal sparsity approach to scalable linear and nonlinear systems analysis by Mason, R

“…<p>In this thesis we investigate how the properties of chordal graphs can be used to exploit sparsity in several optimisation problems that arise in control theory. …”

Adult-born dentate granule cells promote hippocampal population sparsity by McHugh, SB, Lopes-dos-Santos, V, Gava, GP, Hartwich, K, Tam, SKE, Bannerman, DM, Dupret, D

“…Selectively activating abDGCs in their 4–7-week post-birth period increases sparsity of hippocampal population patterns, whereas suppressing abDGCs reduces this sparsity, increases principal cell firing rates and impairs novel object recognition with reduced dimensionality of the network firing structure, without affecting single-neuron spatial representations. …”

On the sparsity-aware partial-update NLMS algorithms for UWB channel estimation by Nunoo, S., Ngah, R., Chude-Okonkwo, U. A. K., Elijah, O., Orikumhi, I., Leow, C. Y.

Efficient multiple solutions for changes in a network using sparsity techniques : correspondence

“…An extension of sparsity techniques for network solution is presented for calculating a series of solutions, each differing from the previous one by small changes in the basic data. …”

Enhancing genomic mutation data storage optimization based on the compression of asymmetry of sparsity by Youde Ding, Youde Ding, Yuan Liao, Ji He, Jianfeng Ma, Xu Wei, Xuemei Liu, Guiying Zhang, Guiying Zhang, Jing Wang, Jing Wang

“…COO decompression performance was the worst. With increasing sparsity, the COO, CSC and CA_SAGM algorithms all exhibited longer compression and decompression times, lower compression and decompression rates, larger compression memory and lower compression ratios. …”
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An improved sparsity-aware normalized least-mean-square scheme for underwater communication by Anand Kumar, Prashant Kumar

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An effective sparsity evaluation criterion for power-line interference suppression of EEG signal by Zhi-xiang Yang, Bin-qiang Chen

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Improving Data Sparsity in Recommender Systems Using Matrix Regeneration with Item Features by Sang-Min Choi, Dongwoo Lee, Kiyoung Jang, Chihyun Park, Suwon Lee

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