Showing results (231-240 of 11,582) with videos related to

Sort By:
Pageof 1,159
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|January 24, 2017
Elastic Net Hypergraph Learning for Image Clustering and Semi-Supervised ClassificationQingshan Liu, Yubao Sun, Cantian Wang, et al.
IEEE Transactions on Neural Networks and Learning Systems|May 9, 2014
A unified learning framework for single image super-resolutionJifei Yu, Xinbo Gao, Dacheng Tao, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|August 1, 2023
VTAE: Variational Transformer Autoencoder With Manifolds LearningPourya Shamsolmoali, Masoumeh Zareapoor, Huiyu Zhou, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|June 11, 2026
Holistic Invariant Retracing for Distortion-Resilient Multi-modal Learning in Spatial TranscriptomicsXiao He, Huangxuan Zhao, Di Wang, et al.
IEEE Transactions on Cybernetics|November 17, 2016
Constrained Low-Rank Learning Using Least Squares-Based RegularizationPing Li, Jun Yu, Meng Wang, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|June 21, 2016
SERF: A Simple, Effective, Robust, and Fast Image Super-Resolver From Cascaded Linear RegressionYanting Hu, Nannan Wang, Dacheng Tao, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|December 25, 2019
Multistage GAN for Fabric Defect DetectionJuhua Liu, Chaoyue Wang, Hai Su, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|May 26, 2021
Self-Training With Progressive Representation Enhancement for Unsupervised Cross-Domain Person Re-IdentificationHang Zhang, Huanhuan Cao, Xu Yang, et al.
IEEE Transactions on Neural Networks and Learning Systems|July 21, 2023
Overcoming Catastrophic Forgetting in Continual Learning by Exploring Eigenvalues of Hessian MatrixYajing Kong, Liu Liu, Huanhuan Chen, et al.
Conference on Computer Vision and Pattern Recognition Workshops. IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Workshops|February 25, 2020
An Efficient and Provable Approach for Mixture Proportion Estimation Using Linear Independence AssumptionXiyu Yu, Tongliang Liu, Mingming Gong, et al.
Pageof 1,159