Search results for "sparsity"

Hits ?▲	Authors	Title	Venue	Year	Link
10	Yujia Zheng, Kun Zhang 0001	Generalizing Nonlinear ICA Beyond Structural Sparsity.	CoRR	2023	DBLP DOI BibTeX RDF
10	Mike Lasby, Anna Golubeva, Utku Evci, Mihai Nica, Yani A. Ioannou	Dynamic Sparse Training with Structured Sparsity.	CoRR	2023	DBLP DOI BibTeX RDF
10	Shao-Di Wang, Hui-Ming Wang 0001, Zhetao Li, Victor C. M. Leung	Joint Space-Time Sparsity Based Jamming Detection for Mission-Critical mMTC Networks.	CoRR	2023	DBLP DOI BibTeX RDF
10	Aleksander B. G. Christiansen, Eva Rotenberg, Juliette Vlieghe	Sparsity-Parameterised Dynamic Edge Colouring.	CoRR	2023	DBLP DOI BibTeX RDF
10	Zhi-Yong Wang, Hing Cheung So	A framework to generate sparsity-inducing regularizers for enhanced low-rank matrix completion.	CoRR	2023	DBLP DOI BibTeX RDF
10	Richa Upadhyay, Ronald Phlypo, Rajkumar Saini, Marcus Liwicki	Less is More - Towards parsimonious multi-task models using structured sparsity.	CoRR	2023	DBLP DOI BibTeX RDF
10	Anindya Bijoy Das, Aditya Ramamoorthy, David J. Love, Christopher G. Brinton	Preserving Sparsity and Privacy in Straggler-Resilient Distributed Matrix Computations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Weijia Zhang, Dongnan Liu, Chao Ma, Weidong Cai 0001	ODM3D: Alleviating Foreground Sparsity for Enhanced Semi-Supervised Monocular 3D Object Detection.	CoRR	2023	DBLP DOI BibTeX RDF
10	Sachit Kuhar, Yash Jain, Alexey Tumanov	Signed Binarization: Unlocking Efficiency Through Repetition-Sparsity Trade-Off.	CoRR	2023	DBLP DOI BibTeX RDF
10	Zichang Liu, Jue Wang, Tri Dao, Tianyi Zhou 0002, Binhang Yuan, Zhao Song 0002, Anshumali Shrivastava, Ce Zhang 0001, Yuandong Tian, Christopher Ré, Beidi Chen	Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time.	CoRR	2023	DBLP DOI BibTeX RDF
10	Zhao Xu 0001, Daniel Oñoro-Rubio, Giuseppe Serra 0002, Mathias Niepert	Learning Sparsity of Representations with Discrete Latent Variables.	CoRR	2023	DBLP DOI BibTeX RDF
10	Nikhil Ghosh, Spencer Frei, Wooseok Ha, Bin Yu 0001	The Effect of SGD Batch Size on Autoencoder Learning: Sparsity, Sharpness, and Feature Learning.	CoRR	2023	DBLP DOI BibTeX RDF
10	Yinghao Zhu, Zixiang Wang, Long He, Shiyun Xie, Zixi Chen, Jingkun An, Liantao Ma, Chengwei Pan	Leveraging Prototype Patient Representations with Feature-Missing-Aware Calibration to Mitigate EHR Data Sparsity.	CoRR	2023	DBLP DOI BibTeX RDF
10	Zhen Tan, Tianlong Chen, Zhenyu Zhang 0015, Huan Liu 0001	Sparsity-Guided Holistic Explanation for LLMs with Interpretable Inference-Time Intervention.	CoRR	2023	DBLP DOI BibTeX RDF
10	Haojun Xia, Zhen Zheng, Yuchao Li, Donglin Zhuang, Zhongzhu Zhou, Xiafei Qiu, Yong Li, Wei Lin 0016, Shuaiwen Leon Song	Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity.	CoRR	2023	DBLP DOI BibTeX RDF
10	Bo Hui 0001, Da Yan 0001, Xiaolong Ma, Wei-Shinn Ku	Rethinking Graph Lottery Tickets: Graph Sparsity Matters.	CoRR	2023	DBLP DOI BibTeX RDF
10	Zahra Atashgahi, Mykola Pechenizkiy, Raymond N. J. Veldhuis, Decebal Constantin Mocanu	Adaptive Sparsity Level during Training for Efficient Time Series Forecasting with Transformers.	CoRR	2023	DBLP DOI BibTeX RDF
10	Xuanyao Chen, Zhijian Liu, Haotian Tang, Li Yi, Hang Zhao, Song Han 0003	SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer.	CoRR	2023	DBLP DOI BibTeX RDF
10	Ilkin Aliyev, Kama Svoboda, Tosiron Adegbija	Design Space Exploration of Sparsity-Aware Application-Specific Spiking Neural Network Accelerators.	CoRR	2023	DBLP DOI BibTeX RDF
10	Antoine Gonon, Léon Zheng, Clément Lalanne, Quoc-Tung Le, Guillaume Lauga, Can Pouliquen	Sparsity in neural networks can improve their privacy.	CoRR	2023	DBLP DOI BibTeX RDF
10	Junpei Komiyama, Masaaki Imaizumi	High-dimensional Contextual Bandit Problem without Sparsity.	CoRR	2023	DBLP DOI BibTeX RDF
10	Lu Yin 0006, Shiwei Liu, Ajay Jaiswal, Souvik Kundu 0009, Zhangyang Wang	Junk DNA Hypothesis: A Task-Centric Angle of LLM Pre-trained Weights through Sparsity.	CoRR	2023	DBLP DOI BibTeX RDF
10	Konstantin Donhauser, Johan Lokna, Amartya Sanyal, March Boedihardjo, Robert Hönig, Fanny Yang	Sample-efficient private data release for Lipschitz functions under sparsity assumptions.	CoRR	2023	DBLP DOI BibTeX RDF
10	Julianne Chung, Malena Sabaté Landman	Flexible Krylov Methods for Group Sparsity Regularization.	CoRR	2023	DBLP DOI BibTeX RDF
10	Luke Duttweiler, Sally W. Thurston, Anthony Almudevar	Testing Sparsity Assumptions in Bayesian Networks.	CoRR	2023	DBLP DOI BibTeX RDF
10	Marius Lippke, Maurice Quach, Sascha Braun, Daniel Köhler, Michael Ulrich, Bastian Bischoff, Wei Yap Tan	Exploiting Sparsity in Automotive Radar Object Detection Networks.	CoRR	2023	DBLP DOI BibTeX RDF
10	Wenhao Sun, Zhiwei Zou, Deng Liu, Wendi Sun, Song Chen 0001, Yi Kang	Bit-balance: Model-Hardware Co-design for Accelerating NNs by Exploiting Bit-level Sparsity.	CoRR	2023	DBLP DOI BibTeX RDF
10	Peter Burgholzer, Johannes Bauer-Marschallinger, Mike Hettich, Markus Haltmeier	Breaking the Resolution limit in Photoacoustic Imaging using Positivity and Sparsity.	CoRR	2023	DBLP DOI BibTeX RDF
10	Rishov Sarkar, Hanxue Liang, Zhiwen Fan, Zhangyang Wang, Cong Hao	Edge-MoE: Memory-Efficient Multi-Task Vision Transformer Architecture with Task-level Sparsity via Mixture-of-Experts.	CoRR	2023	DBLP DOI BibTeX RDF
10	Badih Ghazi, Yangsibo Huang, Pritish Kamath, Ravi Kumar 0001, Pasin Manurangsi, Amer Sinha, Chiyuan Zhang	Sparsity-Preserving Differentially Private Training of Large Embedding Models.	CoRR	2023	DBLP DOI BibTeX RDF
10	Matteo Grimaldi, Darshan C. Ganji, Ivan Lazarevich, Sudhakar Sah	Accelerating Deep Neural Networks via Semi-Structured Activation Sparsity.	CoRR	2023	DBLP DOI BibTeX RDF
10	Suman Sapkota, Binod Bhattarai	Dimension Mixer: A Generalized Method for Structured Sparsity in Deep Neural Networks.	CoRR	2023	DBLP DOI BibTeX RDF
10	Chong Yu, Tao Chen 0003, Zhongxue Gan, Jiayuan Fan	Boost Vision Transformer with GPU-Friendly Sparsity and Quantization.	CoRR	2023	DBLP DOI BibTeX RDF
10	Eldar Kurtic, Torsten Hoefler, Dan Alistarh	How to Prune Your Language Model: Recovering Accuracy on the "Sparsity May Cry" Benchmark.	CoRR	2023	DBLP DOI BibTeX RDF
10	Shiraz Khan, Inseok Hwang 0002, James Goppert	Exploiting Sparsity for Localization of Large-Scale Wireless Sensor Networks.	CoRR	2023	DBLP DOI BibTeX RDF
10	Junqing Huang, Haihui Wang, Michael V. Ruzhansky	Semi-sparsity on Piecewise Constant Function Spaces for Triangular Mesh Denoising.	CoRR	2023	DBLP DOI BibTeX RDF
10	Klaudia Balazy, Lukasz Struski, Marek Smieja, Jacek Tabor	r-softmax: Generalized Softmax with Controllable Sparsity Rate.	CoRR	2023	DBLP DOI BibTeX RDF
10	Hongxiang Fan, Stylianos I. Venieris, Alexandros Kouris, Nicholas D. Lane	Sparse-DySta: Sparsity-Aware Dynamic and Static Scheduling for Sparse Multi-DNN Workloads.	CoRR	2023	DBLP DOI BibTeX RDF
10	Cédric Picron, Tinne Tuytelaars	EffSeg: Efficient Fine-Grained Instance Segmentation using Structure-Preserving Sparsity.	CoRR	2023	DBLP DOI BibTeX RDF
10	Zhi-Yong Wang, Hing Cheung So, Abdelhak M. Zoubir	Robust Low-Rank Matrix Completion via a New Sparsity-Inducing Regularizer.	CoRR	2023	DBLP DOI BibTeX RDF
10	Mingyang Deng, Lucas Tao, Joe Benton	Measuring Feature Sparsity in Language Models.	CoRR	2023	DBLP DOI BibTeX RDF
10	Barnali Basak, Uday P. Khedker, Supratim Biswas	SpComp: A Sparsity Structure-Specific Compilation of Matrix Operations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Brandon M. Greenwell, Annika Dahlmann, Saurabh Dhoble	Explainable Boosting Machines with Sparsity - Maintaining Explainability in High-Dimensional Settings.	CoRR	2023	DBLP DOI BibTeX RDF
10	Mohammad Hossein Bahonar, Reza Ghaderi Zefreh, Rouhollah Amiri	Sparsity Domain Smoothing Based Thresholding Recovery Method for OFDM Sparse Channel Estimation.	CoRR	2023	DBLP DOI BibTeX RDF
10	Anning Li	Improved TokenPose with Sparsity.	CoRR	2023	DBLP DOI BibTeX RDF
10	Chanwoo Chun, Daniel D. Lee	Sparsity-depth Tradeoff in Infinitely Wide Deep Neural Networks.	CoRR	2023	DBLP DOI BibTeX RDF
10	Fei Wen, Wei Wang, Wenxian Yu	Sparsity-Aware Optimal Transport for Unsupervised Restoration Learning.	CoRR	2023	DBLP DOI BibTeX RDF
10		An AI-based solution for the cold start and data sparsity problems in the recommendation systems.	CoRR	2023	DBLP DOI BibTeX RDF
10	Haobo Song, Soumajit Majumder, Tao Lin	Revisiting Implicit Models: Sparsity Trade-offs Capability in Weight-tied Model for Vision Tasks.	CoRR	2023	DBLP DOI BibTeX RDF
10	Mustafa Burak Gurbuz, Jean Michael Moorman, Constantine Dovrolis	SHARP: Sparsity and Hidden Activation RePlay for Neuro-Inspired Continual Learning.	CoRR	2023	DBLP DOI BibTeX RDF
10	Xiao Tang 0001, Sicong Liu 0002, Xiaojiang Du, Mohsen Guizani	Sparsity-Aware Intelligent Massive Random Access Control in Open RAN: A Reinforcement Learning Based Approach.	CoRR	2023	DBLP DOI BibTeX RDF
10	Yukun Yang	A theory for the sparsity emerged in the Forward Forward algorithm.	CoRR	2023	DBLP DOI BibTeX RDF
10	Taira Tsuchiya, Shinji Ito, Junya Honda	Stability-penalty-adaptive Follow-the-regularized-leader: Sparsity, Game-dependency, and Best-of-both-worlds.	CoRR	2023	DBLP DOI BibTeX RDF
10	Junyang Cai, Khai-Nguyen Nguyen, Nishant Shrestha, Aidan Good, Ruisen Tu, Xin Yu 0003, Shandian Zhe, Thiago Serra	Getting Away with More Network Pruning: From Sparsity to Geometry and Linear Regions.	CoRR	2023	DBLP DOI BibTeX RDF
10	Cameron Shinn, Collin McCarthy, Saurav Muralidharan, Muhammad Osama 0002, John D. Owens	The Sparsity Roofline: Understanding the Hardware Limits of Sparse Neural Networks.	CoRR	2023	DBLP DOI BibTeX RDF
10	Joo Hyung Lee, Wonpyo Park, Nicole Mitchell, Jonathan Pilault, Johan S. Obando-Ceron, Han-Byul Kim, Namhoon Lee, Elias Frantar, Yun Long, Amir Yazdanbakhsh, Shivani Agrawal, Suvinay Subramanian, Xin Wang 0016, Sheng-Chun Kao, Xingyao Zhang, Trevor Gale, Aart Bik, Woohyun Han, Milen Ferev, Zhonglin Han, Hong-Seok Kim, Yann N. Dauphin, Karolina Dziugaite, Pablo Samuel Castro, Utku Evci	JaxPruner: A concise library for sparsity research.	CoRR	2023	DBLP DOI BibTeX RDF
10	Indrajeet Kumar Sinha, Shekhar Verma, Krishna Pratap Singh	Equitable-FL: Federated Learning with Sparsity for Resource-Constrained Environment.	CoRR	2023	DBLP DOI BibTeX RDF
10	Shaojin Ding, David Qiu, David Rim, Yanzhang He, Oleg Rybakov, Bo Li, Rohit Prabhavalkar, Weiran Wang, Tara N. Sainath, Shivani Agrawal, Zhonglin Han, Jian Li, Amir Yazdanbakhsh	USM-Lite: Quantization and Sparsity Aware Fine-tuning for Speech Recognition with Universal Speech Models.	CoRR	2023	DBLP DOI BibTeX RDF
10	Zichao Xiao, Rang Liu, Ming Li, Wei Wang, Qian Liu	Sparsity Exploitation via Joint Receive Processing and Transmit Beamforming Design for MIMO-OFDM ISAC Systems.	CoRR	2023	DBLP DOI BibTeX RDF
10	Alexander Montgomerie-Corcoran, Zhewen Yu, Jianyi Cheng, Christos-Savvas Bouganis	PASS: Exploiting Post-Activation Sparsity in Streaming Architectures for CNN Acceleration.	CoRR	2023	DBLP DOI BibTeX RDF
10	Francesco Tonin, Alex Lambert, Panagiotis Patrinos, Johan A. K. Suykens	Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast Algorithms.	CoRR	2023	DBLP DOI BibTeX RDF
10	Jiaxi Ying, Xi Han, Rui Zhou, Xiwen Wang, Hing Cheung So	Network Topology Inference with Sparsity and Laplacian Constraints.	CoRR	2023	DBLP DOI BibTeX RDF
10	Shivam Aggarwal, Kuluhan Binici, Tulika Mitra	CRISP: Hybrid Structured Sparsity for Class-aware Model Pruning.	CoRR	2023	DBLP DOI BibTeX RDF
10	Hang Shao, Bei Liu, Yanmin Qian	One-Shot Sensitivity-Aware Mixed Sparsity Pruning for Large Language Models.	CoRR	2023	DBLP DOI BibTeX RDF
10	Arshia Soltani Moakhar, Eugenia Iofinova, Dan Alistarh	SPADE: Sparsity-Guided Debugging for Deep Neural Networks.	CoRR	2023	DBLP DOI BibTeX RDF
10	Siddharth Singh, Abhinav Bhatele	Exploiting Sparsity in Pruned Neural Networks to Optimize Large Model Training.	CoRR	2023	DBLP DOI BibTeX RDF
10	Shuo Li, Mehrdad Yaghoobi	Self-supervised Deep Hyperspectral Inpainting with the Sparsity and Low-Rank Considerations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Dongxu Lyu, Zhenyu Li, Yuzhou Chen, Jinming Zhang, Ningyi Xu, Guanghui He	SpOctA: A 3D Sparse Convolution Accelerator with Octree-Encoding-Based Map Search and Inherent Sparsity-Aware Processing.	CoRR	2023	DBLP DOI BibTeX RDF
10		Sparsity and Coefficient Permutation Based Two-Domain AMP for Image Block Compressed Sensing.	CoRR	2023	DBLP DOI BibTeX RDF
10	Yun Li, Lin Niu, Xipeng Zhang, Kai Liu, Jianchen Zhu, Zhanhui Kang	E-Sparse: Boosting the Large Language Model Inference through Entropy-based N: M Sparsity.	CoRR	2023	DBLP DOI BibTeX RDF
10	Ze Peng, Lei Qi 0001, Yinghuan Shi, Yang Gao 0001	A Theoretical Explanation of Activation Sparsity through Flat Minima and Adversarial Robustness.	CoRR	2023	DBLP DOI BibTeX RDF
10	Ramchandran Muthukumar, Jeremias Sulam	Sparsity-aware generalization theory for deep neural networks.	CoRR	2023	DBLP DOI BibTeX RDF
10	James Chin-Jen Pang, Hessam Mahdavifar, S. Sandeep Pradhan	Capacity-achieving Polar-based Codes with Sparsity Constraints on the Generator Matrices.	CoRR	2023	DBLP DOI BibTeX RDF
10	Haitao Xu, Songwei Liu, Yuyang Xu, Shuai Wang, Jiashi Li, Chenqian Yan, Liangqiang Li, Lean Fu, Xin Pan, Fangmin Chen	SparseByteNN: A Novel Mobile Inference Acceleration Framework Based on Fine-Grained Group Sparsity.	CoRR	2023	DBLP DOI BibTeX RDF
10	Ajay Jaiswal, Shiwei Liu, Tianlong Chen, Zhangyang Wang	The Emergence of Essential Sparsity in Large Pre-trained Models: The Weights that Matter.	CoRR	2023	DBLP DOI BibTeX RDF
10	Anubhab Dasgupta, Atreyee Kundu	A Sparsity Approach to Scheduling and Control of Networked Systems.	CoRR	2023	DBLP DOI BibTeX RDF
10	Lean Yu, Changhua He	A shapelet-based behavioral pattern extraction method for credit risk classification with behavior sparsity.	Adv. Eng. Informatics	2023	DBLP DOI BibTeX RDF
10	Fei Chu, Guanghui Wang, Jun Wang, C. L. Philip Chen, Xuesong Wang 0001	Learning broad learning system with controllable sparsity through L0 regularization.	Appl. Soft Comput.	2023	DBLP DOI BibTeX RDF
10	Haojun Xia, Zhen Zheng, Yuchao Li, Donglin Zhuang, Zhongzhu Zhou, Xiafei Qiu, Yong Li, Wei Lin 0016, Shuaiwen Leon Song	Flash-LLM: Enabling Low-Cost and Highly-Efficient Large Generative Model Inference With Unstructured Sparsity.	Proc. VLDB Endow.	2023	DBLP BibTeX RDF
10	Boreland Bryson, Herb Kunze, Davide La Torre, Danilo Liuzzi	A Generalized Multiple Criteria Data-Fitting Model With Sparsity and Entropy With Application to Growth Forecasting.	IEEE Trans. Engineering Management	2023	DBLP DOI BibTeX RDF
10	Siying Liu, Pier Luigi Dragotti	Sensing Diversity and Sparsity Models for Event Generation and Video Reconstruction from Events.	IEEE Trans. Pattern Anal. Mach. Intell.	2023	DBLP DOI BibTeX RDF
10	Yanwei Fu, Chen Liu, Donghao Li, Zuyuan Zhong, Xinwei Sun 0001, Jinshan Zeng, Yuan Yao 0011	Exploring Structural Sparsity of Deep Networks Via Inverse Scale Spaces.	IEEE Trans. Pattern Anal. Mach. Intell.	2023	DBLP DOI BibTeX RDF
10	Huan Wang 0014, Yulun Zhang, Can Qin, Luc Van Gool, Yun Fu 0001	Global Aligned Structured Sparsity Learning for Efficient Image Super-Resolution.	IEEE Trans. Pattern Anal. Mach. Intell.	2023	DBLP DOI BibTeX RDF
10	Longguang Wang, Yulan Guo, Xiaoyu Dong, Yingqian Wang 0002, Xinyi Ying, Zaiping Lin, Wei An	Exploring Fine-Grained Sparsity in Convolutional Neural Networks for Efficient Inference.	IEEE Trans. Pattern Anal. Mach. Intell.	2023	DBLP DOI BibTeX RDF
10	Xiaoqin Zhang 0002, Jingjing Zheng, Di Wang 0008, Guiying Tang, Zhengyuan Zhou, Zhouchen Lin	Structured Sparsity Optimization With Non-Convex Surrogates of $\ell _{2,0}$ℓ2,0-Norm: A Unified Algorithmic Framework.	IEEE Trans. Pattern Anal. Mach. Intell.	2023	DBLP DOI BibTeX RDF
10	Hanshen Xiao, Yaowen Zhang, Beining Zhou, Guoqiang Xiao 0001	On the Foundation of Sparsity Constrained Sensing - Part I: Sampling Theory and Robust Remainder Problem.	IEEE Trans. Signal Process.	2023	DBLP DOI BibTeX RDF
10	Jianhong Xiang, Cong Wang, Linyu Wang, Yu Zhong	FECG compressed sensing mode based on joint block sparsity.	Biomed. Signal Process. Control.	2023	DBLP DOI BibTeX RDF
10	Weisheng Dong, Jinjian Wu, Leida Li, Guangming Shi, Xin Li 0005	Bayesian Deep Learning for Image Reconstruction: From structured sparsity to uncertainty estimation.	IEEE Signal Process. Mag.	2023	DBLP DOI BibTeX RDF
10	Zhenni Li, Ying Xie, Kungan Zeng, Shengli Xie, Banage T. G. S. Kumara	Adaptive sparsity-regularized deep dictionary learning based on lifted proximal operator machine.	Knowl. Based Syst.	2023	DBLP DOI BibTeX RDF
10	Liran Yang, Bin Lu, Qinghua Zhou, Pan Su	Unsupervised domain adaptation via re-weighted transfer subspace learning with inter-class sparsity.	Knowl. Based Syst.	2023	DBLP DOI BibTeX RDF
10	Ilkin Aliyev, Kama Svoboda, Tosiron Adegbija	Design Space Exploration of Sparsity-Aware Application-Specific Spiking Neural Network Accelerators.	IEEE J. Emerg. Sel. Topics Circuits Syst.	2023	DBLP DOI BibTeX RDF
10	Matteo Lapucci, Tommaso Levato, Francesco Rinaldi, Marco Sciandrone	A Unifying Framework for Sparsity-Constrained Optimization.	J. Optim. Theory Appl.	2023	DBLP DOI BibTeX RDF
10	Bodo Rosenhahn	Optimization of Sparsity-Constrained Neural Networks as a Mixed Integer Linear Program.	J. Optim. Theory Appl.	2023	DBLP DOI BibTeX RDF
10	Cheng Lu 0007, Zhibin Deng, Shu-Cherng Fang, Wenxun Xing	A New Global Algorithm for Max-Cut Problem with Chordal Sparsity.	J. Optim. Theory Appl.	2023	DBLP DOI BibTeX RDF
10	Bei Liu, Zekang Ding, Yufei Zhang, Huajun She, Yiping P. Du	Low-Rank Tensor Subspace Decomposition With Weighted Group Sparsity for the Acceleration of Non-Cartesian Dynamic MRI.	IEEE Trans. Biomed. Eng.	2023	DBLP DOI BibTeX RDF
10	Yun Wu, Yuxiao Niu, Xueqin Jiang 0001, Han Hai, Enjian Bai	Common structured sparsity based multi-user channel estimation for double-RIS assisted millimeter wave systems.	Phys. Commun.	2023	DBLP DOI BibTeX RDF
10	Enjian Cai, Yi Zhang 0019, Xinzheng Lu, Xiaodong Ji, Yinbin Li, Jianying Li, Xinyu Song, Hong Zhang, Yong Liu	Estimating small structural motions based on sparsity enforcement.	Comput. Aided Civ. Infrastructure Eng.	2023	DBLP DOI BibTeX RDF
10	Shao-Di Wang, Hui-Ming Wang 0001, Zhetao Li, Victor C. M. Leung	Joint Space-Time Sparsity Based Jamming Detection for Mission-Critical mMTC Networks.	IEEE Trans. Commun.	2023	DBLP DOI BibTeX RDF
10	James Chin-Jen Pang, Hessam Mahdavifar, S. Sandeep Pradhan	Capacity-Achieving Polar-Based Codes With Sparsity Constraints on the Generator Matrices.	IEEE Trans. Commun.	2023	DBLP DOI BibTeX RDF
10	Salah Eddine Brezini, Yannick Deville	Hyperspectral and Multispectral Image Fusion with Automated Extraction of Image-Based Endmember Bundles and Sparsity-Based Unmixing to Deal with Spectral Variability.	Sensors	2023	DBLP DOI BibTeX RDF