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ALR-HT: A fast and efficient Lasso regression without hyperparameter tuning Journal article
Wang, Yuhang, Zou, Bin, Xu, Jie, Xu, Chen, Tang, Yuan Yan. ALR-HT: A fast and efficient Lasso regression without hyperparameter tuning[J]. Neural Networks, 2025, 181.
Authors:  Wang, Yuhang;  Zou, Bin;  Xu, Jie;  Xu, Chen;  Tang, Yuan Yan
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:6.0/7.9 | Submit date：2025/01/22
Additive Models  Generalization Bound  Hyperparameter Tuning  Lasso Regression  Markov Resampling  Ridge Regression  
Low-rank kernel regression with preserved locality for multi-class analysis Journal article
Wang,Yingxu, Chen,Long, Zhou,Jin, Li,Tianjun, Yu,Yufeng. Low-rank kernel regression with preserved locality for multi-class analysis[J]. Pattern Recognition, 2023, 141, 109601.
Authors:  Wang,Yingxu;  Chen,Long;  Zhou,Jin;  Li,Tianjun;  Yu,Yufeng
Favorite | TC[WOS]:3 TC[Scopus]:4  IF:7.5/7.6 | Submit date：2023/08/03
Kernel Ridge Regression  Locality Preserving  Low-rank Learning  Random Feature Space  
Sparsity-based image error concealment via adaptive dual dictionary learning and regularization Journal article
Xianming Liu, Deming Zhai, Jiantao Zhou, Shiqi Wang, Debin Zhao, Huijun Gao. Sparsity-based image error concealment via adaptive dual dictionary learning and regularization[J]. IEEE Transactions on Image Processing, 2016, 26(2), 782-796.
Authors:  Xianming Liu;  Deming Zhai;  Jiantao Zhou;  Shiqi Wang;  Debin Zhao; et al.
Adobe PDF | Favorite | TC[WOS]:25 TC[Scopus]:31  IF:10.8/12.1 | Submit date：2018/12/22
Image Error Concealment  Dual Dictionary Learning  Sparse Coding  Kernel Ridge Regression