English | 繁體

Search in the results

UM

Browse/Search Results:  1-2 of 2 Help

Selected(0)Clear Items/Page:    Sort:
Asymmetric Convolution: An Efficient and Generalized Method to Fuse Feature Maps in Multiple Vision Tasks Journal article
Han, Wencheng, Dong, Xingping, Zhang, Yiyuan, Crandall, David, Xu, Cheng Zhong, Shen, Jianbing. Asymmetric Convolution: An Efficient and Generalized Method to Fuse Feature Maps in Multiple Vision Tasks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024, 3400873.
Authors:  Han, Wencheng;  Dong, Xingping;  Zhang, Yiyuan;  Crandall, David;  Xu, Cheng Zhong; et al.
Favorite | TC[WOS]:1 TC[Scopus]:2  IF:20.8/22.2 | Submit date：2024/06/05
Fusing Features  Asymmetric Convolution  Convolution  Feature Maps  Vision Tasks  
Multi-Attribute Based Fuzzy C-means in Approximated Feature Space Conference paper
Liu, Zhulin, Chen, C. L. Philip, Chen, Long, Zhoto, Jin. Multi-Attribute Based Fuzzy C-means in Approximated Feature Space[C], 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE, 2017.
Authors:  Liu, Zhulin;  Chen, C. L. Philip;  Chen, Long;  Zhoto, Jin
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2018/10/30
Fuzzy C-means  Random Features  Random Fourier Features Maps  Quasi-monte Carlo Feature Maps  Weighted Multi-kernel Fuzzy C-means  Maximum Entropy Method For Weighted Data