UM

Browse/Search Results:  1-10 of 20 Help

Filters    
Selected(0)Clear Items/Page:    Sort:
Hypergraph p-Laplacian Regularization for Remotely Sensed Image Recognition Journal article
IEEE Transactions on Geoscience and Remote Sensing, 2019,Volume: 57,Issue: 3,Page: 1585 - 1595
Authors:  Xueqi Ma;  Weifeng Liu;  Shuying Li;  Dapeng Tao;  Yicong Zhou
Favorite | View/Download:44/0 | TC[WOS]:32 TC[Scopus]:0 | Submit date:2019/03/26
Hypergraph  Manifold Learning  P-laplacian  Remote Sensing  Semi-supervised Learning  
Hessian Regularized Multi-task Dictionary Learning for Remote Sensing Image Recognition Journal article
IEEE Geoscience and Remote Sensing Letters, 2018,Page: 1 - 5
Authors:  Guanhua Feng;  Weifeng Liu;  Shuying Li;  Dapeng Tao;  Yicong Zhou
Favorite | View/Download:6/0 | TC[WOS]:0 TC[Scopus]:0 | Submit date:2019/03/26
Hessian Regularization  Multitask Dictionary Learning  Remote Sensing (Rs) Image Recognition  
Discriminative graph regularized broad learning system for image recognition Journal article
SCIENCE CHINA-INFORMATION SCIENCES, 2018,Volume: 61,Issue: 11
Authors:  Jin, Junwei;  Liu, Zhulin;  Chen, C. L. Philip
Favorite | View/Download:37/0 | TC[WOS]:14 TC[Scopus]:0 | Submit date:2019/01/17
broad learning system  deep learning  graph regularization  image recognition  feature extraction  incremental learning  
Shared Autoencoder Gaussian Process Latent Variable Model for Visual Classification Journal article
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018,Volume: 29,Issue: 9,Page: 4272-4286
Authors:  Li, Jinxing;  Zhang, Bob;  Zhang, David
Favorite | View/Download:18/0 | TC[WOS]:1 TC[Scopus]:0 | Submit date:2018/10/30
Autoencoder  discriminative  Gaussian process (GP)  kernel  latent variable model  multiview  
p-Laplacian Regularization for Indoor Scene Recognition Journal article
IEEE Transactions on Cybernetics, 2018,Page: 1 - 14
Authors:  Weifeng Liu;  Xueqi Ma;  Yicong Zhou;  Dapeng Tao;  Jun Cheng
Favorite | View/Download:14/0 | TC[WOS]:0 TC[Scopus]:0 | Submit date:2019/03/26
Laplacian Regularization (Lapr)  Manifold Learning  P-laplacian  Scene Recognition  Semi-supervised Learning (Ssl)  
Constrained Manifold Learning for Hyperspectral Imagery Visualization Journal article
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018,Volume: 11,Issue: 4,Page: 1213-1226
Authors:  Danping Liao;  Yuntao Qian;  Yuan Yan Tang
Favorite | View/Download:53/0 | TC[WOS]:6 TC[Scopus]:0 | Submit date:2018/10/30
Composite Kernel  Hyperspectral Image  Manifold Learning  Visualization  
Learning the Distribution Preserving Semantic Subspace for Clustering Journal article
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2017,Volume: 26,Issue: 12,Page: 5950-5965
Authors:  Tian, Jinyu;  Zhang, Taiping;  Qin, Anyong;  Shang, Zhaowei;  Tang, Yuan Yan
Favorite | View/Download:29/0 | TC[WOS]:17 TC[Scopus]:0 | Submit date:2018/10/30
Clustering  Distribution Preserving Indexing  Semantic Representation  Local Manifold Structure  
Hyperspectral image classification using One Dimensional Manifold Embedding with Spectral-Spatial based affinity metric Conference paper
Proceedings - 2015 IEEE 2nd International Conference on Cybernetics, CYBCONF 2015, Gdynia, Poland, 6 24, 2015 - 6 26, 2015
Authors:  Luo, Huiwu;  Tang, Yuan Yan;  Wang, Yulong;  Li, Chunli;  Wang, Jianzhong;  Hu, Tingbo;  Li, Hong
Favorite | View/Download:15/0 | TC[WOS]:2 TC[Scopus]:0 | Submit date:2018/11/06
Feature Extraction  1-dimensional Manifold Embedding  Smooth Ordering  Pixel Sorting  Spectral-spatial Information  Self-learning  Hyperspectral Image Classification  
Hyperspectral Image Classification Using Metric Learning in One-Dimensional Embedding Framework Journal article
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017,Volume: 10,Issue: 5,Page: 1987-2001
Authors:  Luo, Huiwu;  Tang, Yuan Yan;  Wang, Yulong;  Wang, Jianzhong;  Biuk-Aghai, Robert P.;  Pan, Jianjia;  Liu, Runzong;  Yang, Lina
Favorite | View/Download:19/0 | TC[WOS]:6 TC[Scopus]:0 | Submit date:2018/10/30
1-d Manifold Embedding (1dme)  Hyperspectral Image (Hsi) Classification  Metric Learning  Smooth Ordering  
Error analysis for the semi-supervised algorithm under maximum correntropy criterion Journal article
NEUROCOMPUTING, 2017,Volume: 223,Page: 45-53
Authors:  Zuo, Ling;  Wang, Yulong
Favorite | View/Download:23/0 | TC[WOS]:0 TC[Scopus]:0 | Submit date:2018/10/30
Semi-supervised learning  Correntropy  Excess generalization error  Manifold error