机构

• 自动化研究所 [7]
• 沈阳自动化研究所 [2]
• 生态环境研究中心 [2]
• 数学与系统科学研究院 [1]
• 南京地理与湖泊研究所 [1]
• 动物研究所 [1]
• 更多

采集方式

• OAI收割 [15]

内容类型

• 期刊论文 [13]
• 会议论文 [2]

发表日期

• 2020 [15]

学科主题

筛选

浏览/检索结果: 共15条，第1-10条 帮助 限定条件 发表日期：2020     条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序发表日期升序发表日期降序题名升序题名降序作者升序作者降序 Self-centralized jointly sparse maximum margin criterion for robust dimensionality reduction 期刊论文  OAI收割 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：25/0  |  提交时间：2021/01/07 Maximum margin criterion  Robustness  Adaptive centroid  L-1,L-2-norm sparsity  Dimensionality reduction   NeuralEE: A GPU-Accelerated Elastic Embedding Dimensionality Reduction Method for Visualizing Large-Scale scRNA-Seq Data 期刊论文  OAI收割 FRONTIERS IN GENETICS, 2020, 卷号: 11, 页码: 8 作者:  Xiong, Jiankang;  Gong, Fuzhou;  Wan, Lin;  Ma, Liang   |  收藏  |  浏览/下载：37/0  |  提交时间：2021/01/14 single-cell RNA sequencing  elastic embedding  neural networks  large-scale  stochastic optimization  parametric models  generalizable models   Supervised Dimensionality Reduction Methods via Recursive Regression 期刊论文  OAI收割 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：35/0  |  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   Multiview Hybrid Embedding: A Divide-and-Conquer Approach 期刊论文  OAI收割 IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: 50, 期号: 8, 页码: 3640-3653 作者:  Xu, Jiamiao;  Yu, Shujian;  You, Xinge;  Leng, Mengjun;  Jing, Xiao-Yuan   |  收藏  |  浏览/下载：21/0  |  提交时间：2020/08/21 Kernel  Interviews  Manifolds  Benchmark testing  Geometry  Optimization  Cybernetics  Cross-view classification  Divide-and-Conquer  multiview hybrid embedding (MvHE)  multiview learning   PolSAR Image Feature Extraction via Co-Regularized Graph Embedding 期刊论文  OAI收割 REMOTE SENSING, 2020, 卷号: 12, 期号: 11, 页码: 19 作者:  Huang, Xiayuan;  Nie, Xiangli;  Qiao, Hong   |  收藏  |  浏览/下载：28/0  |  提交时间：2020/08/03 Wishart distance  Euclidean distance of polarimetric features  co-regularized graph embedding  dimensionality reduction  PolSAR image feature extraction   Semi-supervised partial least squares 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING, 2020, 卷号: 18, 期号: 3, 页码: 1-12 作者:  Jin, Xi;  Zhang, Xing;  Rao, Kaifeng;  Tang, Liang;  Xie, Qiwei   |  收藏  |  浏览/下载：9/0  |  提交时间：2021/09/14 Partial least squares  semi-supervised  unsupervised learning  dimensionality reduction  principal model analysis   Self-adaption neighborhood density clustering method for mixed data stream with concept drift 期刊论文  OAI收割 ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2020, 卷号: 89, 页码: 14 作者:  Xu, Shuliang;  Feng, Lin;  Liu, Shenglan;  Qiao, Hong   |  收藏  |  浏览/下载：31/0  |  提交时间：2020/04/07 Data stream  Concept drift  Rough set  Clustering analysis  Neighborhood entropy   Synergistic Features of Superoxide Molecule Anchoring and Charge Transfer on Two-Dimensional Ti3C2Tx MXene for Efficient Peroxymonosulfate Activation 期刊论文  OAI收割 ACS APPLIED MATERIALS & INTERFACES, 2020, 卷号: 12, 期号: 8, 页码: 9209-9218 作者:  Ding, Mingmei;  Chen, Wei;  Xu, Hang;  Lu, Chunhui;  Lin, Tao   |  收藏  |  浏览/下载：20/0  |  提交时间：2021/09/15 Fenton-like reactions  Ti3C2Tx monolayer  dimensional reduction  frontier orbitals  active sites   Research on an Urban Building Area Extraction Method with High-Resolution PolSAR Imaging Based on Adaptive Neighborhood Selection Neighborhoods for Preserving Embedding 期刊论文  OAI收割 ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2020, 卷号: 9, 期号: 2, 页码: 15 作者:  Cheng, Bo;  Cui, Shiai;  Ma, Xiaoxiao;  Liang, Chenbin   |  收藏  |  浏览/下载：18/0  |  提交时间：2020/06/02 PolSAR  machine learning  ANSNPE  SVM   A generalized least-squares approach regularized with graph embedding for dimensionality reduction 期刊论文  OAI收割 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：28/0  |  提交时间：2020/03/30 Dimensionality reduction  Graph embedding  Subspace learning  Least-squares