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浏览/检索结果: 共12条，第1-10条 帮助 限定条件 发表日期：2020     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Self-centralized jointly sparse maximum margin criterion for robust dimensionality reduction 期刊论文 KNOWLEDGE-BASED SYSTEMS, 2020, 卷号: 206, 页码: 15 作者:  Hu, Liangchen;  Xu, Jingke;  Tian, Lei;  Zhang, Wensheng 收藏  |  浏览/下载：23/0  |  提交时间：2021/01/07 Maximum margin criterion  Robustness  Adaptive centroid  L-1,L-2-norm sparsity  Dimensionality reduction   SRSC: Selective, Robust, and Supervised Constrained Feature Representation for Image Classification 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 10, 页码: 4290-4302 作者:  Xie, Guo-Sen;  Zhang, Zheng;  Liu, Li;  Zhu, Fan;  Zhang, Xu-Yao 收藏  |  浏览/下载：24/0  |  提交时间：2021/01/07 Training  Task analysis  Learning systems  Computational modeling  Optimization  Support vector machines  Principal component analysis  Feature learning  feature selection  least squares  subspace learning   Stability and regularity transmission for coupled beam and wave equations through boundary weak connections 期刊论文 ESAIM-CONTROL OPTIMISATION AND CALCULUS OF VARIATIONS, 2020, 卷号: 26, 页码: 29 作者:  Guo, Bao-Zhu;  Ren, Han-Jing 收藏  |  浏览/下载：8/0  |  提交时间：2021/01/14 Euler-Bernoulli beam equation  wave equation with structural damping  coupled system  Gevrey class   Supervised Dimensionality Reduction Methods via Recursive Regression 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 9, 页码: 3269-3279 作者:  Liu, Yun;  Zhang, Rui;  Nie, Feiping;  Li, Xuelong;  Ding, Chris 收藏  |  浏览/下载：24/0  |  提交时间：2020/10/23 Dimensionality reduction  Linear discriminant analysis  Eigenvalues and eigenfunctions  Learning systems  Computer science  Optical imaging  Optics  Optimal scaling (OS)  orthogonal least squares regression (OLSR)  orthogonal linear discriminant analysis (OLDA)  recursive regression  supervised dimensionality reduction   Multi-feature weighting neighborhood density clustering 期刊论文 NEURAL COMPUTING & APPLICATIONS, 2020, 卷号: 32, 期号: 13, 页码: 9545-9565 作者:  Xu, Shuliang;  Feng, Lin;  Liu, Shenglan;  Zhou, Jian;  Qiao, Hong 收藏  |  浏览/下载：13/0  |  提交时间：2020/08/03 Clustering analysis  Multi-feature  Neighborhood density  Rough set  Granular computing   Principal component analysis or kernel principal component analysis based joint spectral subspace method for calibration transfer 期刊论文 SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, 2020, 卷号: 227, 页码: 16 作者:  Shan, Peng;  Zhao, Yuhui;  Wang, Qiaoyun;  Ying, Yao;  Peng, Silong 收藏  |  浏览/下载：15/0  |  提交时间：2020/03/30 Calibration transfer  Principal component analysis (PCA)  Kernel principal component analysis (KPCA)  Multivariate calibration  Joint spectral subspace  Partial least squares (PLS)   A generalized least-squares approach regularized with graph embedding for dimensionality reduction 期刊论文 PATTERN RECOGNITION, 2020, 卷号: 98, 页码: 10 作者:  Shen, Xiang-Jun;  Liu, Si-Xing;  Bao, Bing-Kun;  Pan, Chun-Hong;  Zha, Zheng-Jun 收藏  |  浏览/下载：14/0  |  提交时间：2020/03/30 Dimensionality reduction  Graph embedding  Subspace learning  Least-squares   Transfer Learning with Dynamic Distribution Adaptation 期刊论文 ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 2020, 卷号: 11, 期号: 1, 页码: 25 作者:  Wang, Jindong;  Chen, Yiqiang;  Feng, Wenjie;  Yu, Han;  Huang, Meiyu 收藏  |  浏览/下载：12/0  |  提交时间：2020/12/10 Transfer learning  domain adaptation  distribution alignment  deep learning  subspace learning  kernel method   Tensor Multi-Task Learning for Person Re-Identification 期刊论文 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 期号: 1, 页码: 2463-2477 作者:  Zhang, Zhizhong;  Xie, Yuan;  Zhang, Wensheng;  Tang, Yongqiang;  Tian, Qi 收藏  |  浏览/下载：19/0  |  提交时间：2020/03/30 Cameras  Task analysis  Measurement  Visualization  Training  Computational modeling  Person re-identification  multi-task learning  tensor optimization   Generalized Latent Multi-View Subspace Clustering 期刊论文 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2020, 卷号: 42, 期号: 1, 页码: 86-99 作者:  Zhang, Changqing;  Fu, Huazhu;  Hu, Qinghua;  Cao, Xiaochun;  Xie, Yuan 收藏  |  浏览/下载：29/0  |  提交时间：2020/03/30 Clustering methods  Correlation  Electronic mail  Neural networks  Task analysis  Clustering algorithms  Minimization  Multi-view clustering  subspace clustering  latent representation  neural networks