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Robust passivity analysis for uncertain neural networks with discrete and distributed time-varying delays.

, , , and . Neurocomputing, (2019)

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Semi-supervised feature selection analysis with structured multi-view sparse regularization., , , , , and . Neurocomputing, (2019)Robust passivity analysis for uncertain neural networks with discrete and distributed time-varying delays., , , and . Neurocomputing, (2019)Hessian Semi-Supervised Sparse Feature Selection Based on $L_2, 1/2$ -Matrix Norm., , , and . IEEE Trans. Multim., 17 (1): 16-28 (2015)Multiview Hessian Semisupervised Sparse Feature Selection for Multimedia Analysis., , , , and . IEEE Trans. Circuits Syst. Video Techn., 27 (9): 1947-1961 (2017)Camouflaged object detection based on context-aware and boundary refinement., , , , , and . Appl. Intell., 53 (19): 22429-22445 (October 2023)A pooling-based feature pyramid network for salient object detection., , , and . Image Vis. Comput., (2021)Structured Multi-view Supervised Feature Selection Algorithm Research., , , , and . CCCV (2), volume 772 of Communications in Computer and Information Science, page 149-157. Springer, (2017)Semi-supervised sparse feature selection based on multi-view Laplacian regularization., , , and . Image Vis. Comput., (2015)Multi-scale Salient Instance Segmentation based on Encoder-Decoder., , , , and . ACML, volume 157 of Proceedings of Machine Learning Research, page 1445-1460. PMLR, (2021)Sparse feature selection based on graph Laplacian for web image annotation., , and . Image Vis. Comput., 32 (3): 189-201 (2014)