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IEEE Transactions on Pattern Analysis and Machine Intelligence|July 15, 2025
ClusMatch: Improving Deep Clustering by Unified Positive and Negative Pseudo-label LearningJianlong Wu, Zihan Li, Wei Sun, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|October 11, 2022
Structured Sparsity Optimization With Non-Convex Surrogates of l<sub>2,0</sub>-Norm: A Unified Algorithmic FrameworkXiaoqin Zhang, Jingjing Zheng, Di Wang, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|February 2, 2016
Learning to Diffuse: A New Perspective to Design PDEs for Visual AnalysisRisheng Liu, Guangyu Zhong, Junjie Cao, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|April 7, 2023
Equilibrium Image Denoising With Implicit DifferentiationQi Chen, Yifei Wang, Zhengyang Geng, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|April 11, 2012
Robust recovery of subspace structures by low-rank representationGuangcan Liu, Zhouchen Lin, Shuicheng Yan, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|February 18, 2026
On the Adversarial Transferability of Generalized "Skip Connections"Yisen Wang, Yichuan Mo, Dongxian Wu, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|June 10, 2022
Optimization Induced Equilibrium Networks: An Explicit Optimization Perspective for Understanding Equilibrium ModelsXingyu Xie, Qiuhao Wang, Zenan Ling, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|January 11, 2019
Tensor Robust Principal Component Analysis with a New Tensor Nuclear NormCanyi Lu, Jiashi Feng, Yudong Chen, et al.
Neural Networks : the Official Journal of the International Neural Network Society|June 27, 2022
Training much deeper spiking neural networks with a small number of time-stepsQingyan Meng, Shen Yan, Mingqing Xiao, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|June 10, 2015
Constructing a Nonnegative Low-Rank and Sparse Graph With Data-Adaptive FeaturesLiansheng Zhuang, Shenghua Gao, Jinhui Tang, et al.
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