UM

Browse/Search Results:  1-6 of 6 Help

Selected(0)Clear Items/Page:    Sort:
Small-Sample Classification for Hyperspectral Images With EPF-Based Smooth Ordering Journal article
Ye, Zhijing, Zhang, Liming, Zheng, Chengyong, Peng, Jiangtao, Benediktsson, Jon Atli. Small-Sample Classification for Hyperspectral Images With EPF-Based Smooth Ordering[J]. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62, 5525814.
Authors:  Ye, Zhijing;  Zhang, Liming;  Zheng, Chengyong;  Peng, Jiangtao;  Benediktsson, Jon Atli
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:7.5/7.6 | Submit date:2024/09/03
Edge-preserving Features (Epfs)  Hyperspectral Image (Hsi)  Small-sample Classification  Smooth Ordering  
DHI-GAN: Improving Dental-Based Human Identification Using Generative Adversarial Networks Journal article
Lin, Yi, Fan, Fei, Zhang, Jianwei, Zhou, Jizhe, Liao, Peixi, Chen, Hu, Deng, Zhenhua, Zhang, Yi. DHI-GAN: Improving Dental-Based Human Identification Using Generative Adversarial Networks[J]. IEEE Transactions on Neural Networks and Learning Systems, 2022, 34(12), 9700-9712.
Authors:  Lin, Yi;  Fan, Fei;  Zhang, Jianwei;  Zhou, Jizhe;  Liao, Peixi; et al.
Favorite | TC[WOS]:1 TC[Scopus]:2  IF:10.2/10.4 | Submit date:2024/01/02
Spatial And Channel Fusion Attention  Dental-based Human Identification (Dhi)  Generative Adversarial Network (Gan)  Semisupervised Training  Small Sample  
A SVM controller for the stable walking of biped robots based on small sample sizes Journal article
Liu Z., Wang L., Zhang Y., Chen C.L.P.. A SVM controller for the stable walking of biped robots based on small sample sizes[J]. Applied Soft Computing Journal, 2016, 38, 738-753.
Authors:  Liu Z.;  Wang L.;  Zhang Y.;  Chen C.L.P.
Favorite | TC[WOS]:19 TC[Scopus]:29 | Submit date:2019/02/11
Biped Robots  Gait  Learning Control  Small Sample Sizes  Svm  
Supervised regularization locality-preserving projection method for face recognition Journal article
WEN-SHENG CHEN, WEI WANG, JIAN-WEI YANG, YUAN YAN TANG. Supervised regularization locality-preserving projection method for face recognition[J]. International Journal of Wavelets, Multiresolution and Information Processing, 2012, 10(6).
Authors:  WEN-SHENG CHEN;  WEI WANG;  JIAN-WEI YANG;  YUAN YAN TANG
Favorite | TC[WOS]:7 TC[Scopus]:10  IF:0.9/1.1 | Submit date:2019/02/11
Face Recognition  Locality-preserving Projections  Regularization.  Small Sample Size Problem  Supervised Learning  
Incremental embedding and learning in the local discriminant subspace with application to face recognition Journal article
Cheng M., Fang B., Tang Y.Y., Zhang T., Wen J.. Incremental embedding and learning in the local discriminant subspace with application to face recognition[J]. IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews, 2010, 40(5), 580-591.
Authors:  Cheng M.;  Fang B.;  Tang Y.Y.;  Zhang T.;  Wen J.
Favorite | TC[WOS]:22 TC[Scopus]:36 | Submit date:2019/02/11
Dimensionality Reduction  Discriminant Embedding  Face Recognition  Incremental Learning  Manifold Learning  Singular Value Decomposition (Svd)  Small Sample Size (Sss) Problem  
Cluster number selection for a small set of samples using the Bayesian Ying-Yang model Journal article
Guo P., Chen C.L.P., Lyu M.R.. Cluster number selection for a small set of samples using the Bayesian Ying-Yang model[J]. IEEE Transactions on Neural Networks, 2002, 13(3), 757-763.
Authors:  Guo P.;  Chen C.L.P.;  Lyu M.R.
Favorite | TC[WOS]:61 TC[Scopus]:65 | Submit date:2019/02/11
Bootstrap  Cluster Number Selection  Data Smoothing  Sem Algorithm  Small Number Sample Set  Smoothing Parameter Estimation