Feature Selection With Group-Sparse Stochastic Gates by Hyeryn Park, Changhee Lee

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Graph-Based Clustering via Group Sparsity and Manifold Regularization by Jianyu Miao, Tiejun Yang, Junwei Jin, Lingfeng Niu

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A Multiobjective Group Sparse Hyperspectral Unmixing Method With High Correlation Library by Yanyi Wei, Xia Xu, Bin Pan, Tao Li, Zhenwei Shi

Subjects: “…Group sparsity…”
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Learning Category-Specific Sharable and Exemplary Visual Elements for Image Classification by Yurui Xie, Tiecheng Song

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Weighted Group Sparse Regularized Tensor Decomposition for Hyperspectral Image Denoising by Shuo Wang, Zhibin Zhu, Yufeng Liu, Benxin Zhang

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MEGS: A Penalty for Mutually Exclusive Group Sparsity by Charles Saunders, Vivek K Goyal

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ECG Baseline Estimation and Denoising With Group Sparse Regularization by Hao Shi, Ruixia Liu, Changfang Chen, Minglei Shu, Yinglong Wang

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Multi-Task Nonparametric Regression Under Joint Sparsity by Jae-Hwan Jhong, Gyeongmin Kim, Kwan-Young Bak

Subjects: “…Group sparsity…”
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Multi-Task Learning STAP via Spatial Smoothness and Group Sparsity Regularizations by Lilong Qin, Bo Tang, Hai Wang, Zhongrui Huang

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Image Restoration with Fractional-Order Total Variation Regularization and Group Sparsity by Jameel Ahmed Bhutto, Asad Khan, Ziaur Rahman

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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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Robust Motor Imagery Classification Using Sparse Representations and Grouping Structures by Vangelis P. Oikonomou, Spiros Nikolopoulos, Ioannis Kompatsiaris

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Denoising on Textured Image Using Total Generalized Variation With Overlapping Group Sparsity Based on Fast Split Bregman Method by Cheng Zhang, Kin Sam Yen

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Hyperspectral Image Super-Resolution via Adaptive Factor Group Sparsity Regularization-Based Subspace Representation by Yidong Peng, Weisheng Li, Xiaobo Luo, Jiao Du

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Four-Directional Total Variation With Overlapping Group Sparsity for Image Denosing by Xianchun Zhou, Mengjia Fan

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Weighted Group Sparsity-Constrained Tensor Factorization for Hyperspectral Unmixing by Xinxi Feng, Le Han, Le Dong

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Variational Bayesian Group-Level Sparsification for Knowledge Distillation by Yue Ming, Hao Fu, Yibo Jiang, Hui Yu

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Non-Convex High Order Total Variation With Overlapping Group Sparsity Denoising Model Under Cauchy Noise by Jianguang Zhu, Haijun Lv, Binbin Hao, Jianwen Peng

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Building a Compact Convolutional Neural Network for Embedded Intelligent Sensor Systems Using Group Sparsity and Knowledge Distillation by Jungchan Cho, Minsik Lee

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Feature-space selection with banded ridge regression by Tom Dupré la Tour, Michael Eickenberg, Anwar O. Nunez-Elizalde, Jack L. Gallant

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