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Supervised Polarimetric SAR Image Classification Using Tensor Local Discriminant Embedding 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2018, 卷号: 27, 期号: 6, 页码: 2966-2979
Authors:  Huang, Xiayuan;  Qiao, Hong;  Zhang, Bo;  Nie, Xiangli
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Land Cover Classification  Dimensionality Reduction  Feature Extraction  Spatial Information  Polarimetric Signature  Tensor Local Discriminant Embedding  Plosar Image  
Manifold Warp Segmentation of Human Action 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 5, 页码: 1414-1426
Authors:  Liu, Shenglan;  Feng, Lin;  Liu, Yang;  Qiao, Hong;  Wu, Jun;  Wang, Wei
View  |  Adobe PDF(3667Kb)  |  Favorite  |  View/Download:104/36  |  Submit date:2018/01/06
Curvature  Dimensionality Reduction  Human Action Segmentation  Space Alignment  
Local Discriminant Canonical Correlation Analysis for Supervised PolSAR Image Classification 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2017, 卷号: 14, 期号: 11, 页码: 2102-2106
Authors:  Huang, Xiayuan;  Zhang, Bo;  Qiao, Hong;  Nie, Xiangli
View  |  Adobe PDF(2283Kb)  |  Favorite  |  View/Download:83/33  |  Submit date:2017/12/30
Canonical Correlation Analysis (Cca)  Dimensionality Reduction (Dr)  Local Discriminant Embedding (Lde)  Multiview Feature Extraction  Supervised Polarimetric Synthetic Aperture Radar (Polsar) Image Classification  
Feature Selection Based on Structured Sparsity: A Comprehensive Study 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2017, 卷号: 28, 期号: 7, 页码: 1490-1507
Authors:  Gui, Jie;  Sun, Zhenan;  Ji, Shuiwang;  Tao, Dacheng;  Tan, Tieniu
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Dimensionality Reduction  Feature Selection  Sparse  Structured Sparsity  
Efficient isometric multi-manifold learning based on the self-organizing method 期刊论文
INFORMATION SCIENCES, 2016, 卷号: 345, 页码: 325-339
Authors:  Fan, Mingyu;  Zhang, Xiaoqin;  Qiao, Hong;  Zhang, Bo
Favorite  |  View/Download:62/0  |  Submit date:2016/06/14
Isomap  Nonlinear Dimensionality Reduction  Manifold Learning  Pattern Analysis  Multi-manifold Embedding  
Semisupervised Multilabel Learning With Joint Dimensionality Reduction 期刊论文
IEEE SIGNAL PROCESSING LETTERS, 2016, 卷号: 23, 期号: 6, 页码: 795-799
Authors:  Yu, Tingzhao;  Zhang, Wensheng;  Tingzhao Yu
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Alternating Method  Dimensionality Reduction  Dual Problem  Multilabel Classification  Semisupervised Learning  
基于深度神经网络的无监督特征学习 学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2015
Authors:  黄培浩
Adobe PDF(6741Kb)  |  Favorite  |  View/Download:294/0  |  Submit date:2015/09/02
深度学习  无监督特征学习  聚类分析  数据降维  Deep Learning  Unsupervised Feature Learning  Clustering Analysis  Dimensionality Reduction  
A novel CBIR system with WLLTSA and ULRGA 期刊论文
NEUROCOMPUTING, 2015, 卷号: 147, 期号: 0, 页码: 509-522
Authors:  Feng, Lin;  Liu, Shenglan;  Xiao, Yao;  Hong, Qiao;  Wu, Bin;  Feng, L
Favorite  |  View/Download:36/0  |  Submit date:2016/12/05
Dimensionality Reduction  Local Curvature  Tangent Space  Cbir  Rf  
Dimensionality reduction: An interpretation from manifold regularization perspective 期刊论文
INFORMATION SCIENCES, 2014, 卷号: 277, 页码: 694-714
Authors:  Fan, Mingyu;  Gu, Nannan;  Qiao, Hong;  Zhang, Bo
Favorite  |  View/Download:52/0  |  Submit date:2015/08/12
Dimensionality Reduction  Manifold Regularization  Feature Mapping  Manifold Learning  Out-of-sample Extrapolation  
基于偏最小二乘的红外光谱降维算法研究 学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2014
Authors:  唐亮
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偏最小二乘  主成分分析  线性判别分析  半监督降维  Partial Least Squares  Principal Component Analysis  Linear Discrimdiscriminant  Semi-supervised Dimensionality Reduction