English | 繁體

Search in the results

UM

Browse/Search Results:  1-10 of 11 Help

Selected(0)Clear Items/Page:    Sort:
Preserving Dynamic Attention for Long-Term Spatial-Temporal Prediction Conference paper
Lin, Haoxing, Bai, Rufan, Jia, Weijia, Yang, Xinyu, You, Yongjian. Preserving Dynamic Attention for Long-Term Spatial-Temporal Prediction[C], 2020, 36-46.
Authors:  Lin, Haoxing;  Bai, Rufan;  Jia, Weijia;  Yang, Xinyu;  You, Yongjian
Favorite | TC[WOS]:29 TC[Scopus]:42 | Submit date：2021/12/06
Attention Mechanism  Long-term Prediction  Mining Spatial-temporal Information  Neural Network  
SRNPD: Spatial rendering network for pencil drawing stylization Conference paper
Jin, Yuxi, Li, Ping, Sheng, Bin, Nie, Yongwei, Kim, Jinman, Wu, Enhua. SRNPD: Spatial rendering network for pencil drawing stylization[C], WILEY. 111 RIVER ST, HOBOKEN 07030-5774, NJ:John Wiley and Sons Ltd, 2019, e1890.
Authors:  Jin, Yuxi;  Li, Ping;  Sheng, Bin;  Nie, Yongwei;  Kim, Jinman; et al.
Favorite | TC[WOS]:3 TC[Scopus]:6 | Submit date：2022/05/17
Geometry Information Constraint  Single-shot Bottom-up  Spatial Rendering Network  Stroke Shading Fusion  
Hyperspectral Unmixing via Total Variation Regularized Nonnegative Tensor Factorization Journal article
Xiong, Fengchao, Qian, Yuntao, Zhou, Jun, Tang, Yuan Yan. Hyperspectral Unmixing via Total Variation Regularized Nonnegative Tensor Factorization[J]. IEEE Transactions on Geoscience and Remote Sensing, 2019, 57(4), 2341-2357.
Authors:  Xiong, Fengchao;  Qian, Yuntao;  Zhou, Jun;  Tang, Yuan Yan
Favorite | TC[WOS]:77 TC[Scopus]:85  IF:7.5/7.6 | Submit date：2022/04/15
Hyperspectral Unmixing  Nonnegative Tensor Factorization (Ntf)  Spectral-spatial Information  Total Variation (Tv)  
KL Divergence-Based Fuzzy Cluster Ensemble for Image Segmentation Journal article
Wei, Huiqin, Chen, Long, Guo, Li. KL Divergence-Based Fuzzy Cluster Ensemble for Image Segmentation[J]. ENTROPY, 2018, 20(4).
Authors:  Wei, Huiqin;  Chen, Long;  Guo, Li
Favorite | TC[WOS]:18 TC[Scopus]:24  IF:2.1/2.2 | Submit date：2018/10/30
Fuzzy Clustering  Ensemble Learning  Kl Divergence  Spatial Information  Image Segmentation  
Hyperspectral Image Classification Based on Multiscale Spatial Information Fusion Journal article
Li, Hong, Song, Yalong, Chen, C. L. Philip. Hyperspectral Image Classification Based on Multiscale Spatial Information Fusion[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2017, 55(9), 5302-5312.
Authors:  Li, Hong;  Song, Yalong;  Chen, C. L. Philip
Favorite | TC[WOS]:35 TC[Scopus]:39  IF:7.5/7.6 | Submit date：2018/10/30
Hyperspectral Image (Hsi) Classification  Local 1-d Embedding (L1-de)  Multiscale Spatial Information  
Hyperspectral image classification using One Dimensional Manifold Embedding with Spectral-Spatial based affinity metric Conference paper
Luo, Huiwu, Tang, Yuan Yan, Wang, Yulong, Li, Chunli, Wang, Jianzhong, Hu, Tingbo, Li, Hong. Hyperspectral image classification using One Dimensional Manifold Embedding with Spectral-Spatial based affinity metric[C]. Institute of Electrical and Electronics Engineers Inc.:IEEE, 2017, 394-398.
Authors:  Luo, Huiwu;  Tang, Yuan Yan;  Wang, Yulong;  Li, Chunli;  Wang, Jianzhong; et al.
Favorite | TC[WOS]:2 TC[Scopus]:2 | Submit date：2018/11/06
Feature Extraction  1-dimensional Manifold Embedding  Smooth Ordering  Pixel Sorting  Spectral-spatial Information  Self-learning  Hyperspectral Image Classification  
Does font type influence the N200 enhancement effect in Chinese word recognition? Journal article
Zhou,Aibao, Yin,Yulong, Zhang,Juan, Zhang,Ronghua. Does font type influence the N200 enhancement effect in Chinese word recognition?[J]. Journal of Neurolinguistics, 2016, 39, 57-68.
Authors:  Zhou,Aibao;  Yin,Yulong;  Zhang,Juan;  Zhang,Ronghua
Favorite | TC[WOS]:8 TC[Scopus]:8  IF:1.2/1.8 | Submit date：2019/09/06
Centro-parietal N200  Chinese Word Recognition  High Spatial Frequency Information  N200 Enhancement Effect  
Kernel spatial shadowed c-means for image segmentation Journal article
Chen L., Zou J., Chen C.L.P.. Kernel spatial shadowed c-means for image segmentation[J]. International Journal of Fuzzy Systems, 2014, 16(1), 46-56.
Authors:  Chen L.;  Zou J.;  Chen C.L.P.
Favorite | TC[WOS]:17 TC[Scopus]:25 | Submit date：2019/02/11
Fuzzy Clustering  Image Segmentation  Kernel Method  Shadowed C-means  Spatial Information  
Kernel non-local shadowed c-means for image segmentation Conference paper
Chen L., Zou J., Chen C.L.P.. Kernel non-local shadowed c-means for image segmentation[C], 2014, 2085-2090.
Authors:  Chen L.;  Zou J.;  Chen C.L.P.
Favorite | TC[WOS]:3 TC[Scopus]:5 | Submit date：2019/02/11
Fuzzy Clustering  Image Segmentation  Kernel Method  Non-local Spatial Information  Shadowed C-means  
Shadowed C-Means for image segmentation using local and non-local spatial information Conference paper
Zou J., Chen L., Chen C.L.P.. Shadowed C-Means for image segmentation using local and non-local spatial information[C]:IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2013, 3933-3938.
Authors:  Zou J.;  Chen L.;  Chen C.L.P.
Favorite | TC[WOS]:4 TC[Scopus]:4 | Submit date：2019/02/11
Fuzzy Clustering  Image Segmentation  Non-local Spatial Information  Shadowed C-means  Spatial Information