A perception-driven approach to supervised dimensionality reduction for visualization
文献类型：期刊论文
| 作者 | Wang, Yunhai1; Feng, Kang2; Chu, Xiaowei1; Zhang, Jian4,5; Fu, Chi-Wing3; Sedlmair, Michael6; Yu, Xiaohui1; Chen, Baoquan1 |
| 刊名 | Ieee transactions on visualization and computer graphics
 |
| 出版日期 | 2018-05-01 |
| 卷号 | 24期号:5页码:1828-1840 |
| ISSN号 | 1077-2626 |
| 关键词 | Dimensionality reduction Supervised Visual class separation High-dimensional data |
| DOI | 10.1109/tvcg.2017.2701829 |
| 通讯作者 | Wang, yunhai(cloudseawang@gmail.com) |
| 英文摘要 | Dimensionality reduction (dr) is a common strategy for visual analysis of labeled high-dimensional data. low-dimensional representations of the data help, for instance, to explore the class separability and the spatial distribution of the data. widely-used unsupervised dr methods like pca do not aim to maximize the class separation, while supervised dr methods like lda often assume certain spatial distributions and do not take perceptual capabilities of humans into account. these issues make them ineffective for complicated class structures. towards filling this gap, we present a perception-driven linear dimensionality reduction approach that maximizes the perceived class separation in projections. our approach builds on recent developments in perception-based separation measures that have achieved good results in imitating human perception. we extend these measures to be density-aware and incorporate them into a customized simulated annealing algorithm, which can rapidly generate a near optimal dr projection. we demonstrate the effectiveness of our approach by comparing it to state-of-the-art dr methods on 93 datasets, using both quantitative measure and human judgments. we also provide case studies with class-imbalanced and unlabeled data. |
| WOS关键词 | T-SNE ; PROJECTION ; FRAMEWORK |
| WOS研究方向 | Computer Science |
| WOS类目 | Computer Science, Software Engineering |
| 语种 | 英语 |
| 出版者 | IEEE COMPUTER SOC |
| WOS记录号 | WOS:000431397100011 |
| URI标识 | http://www.irgrid.ac.cn/handle/1471x/2374235 |
| 专题 | 计算机网络信息中心 |
| 通讯作者 | Wang, Yunhai |
| 作者单位 | 1.Shandong Univ, Sch Comp Sci & Technol, Jinan 250000, Shandong, Peoples R China 2.Shandong Univ, IRC, Jinan, Shandong, Peoples R China 3.Chinese Univ Hong Kong, Sha Tin, Hong Kong, Peoples R China 4.Chinese Acad Sci, CNIC, Beijing 100190, Peoples R China 5.Chinese Acad Sci, Supercomp Ctr, Comp Network Informat Ctr, Beijing, Peoples R China 6.Univ Vienna, A-1010 Vienna, Austria |
| 推荐引用方式 GB/T 7714 | Wang, Yunhai,Feng, Kang,Chu, Xiaowei,et al. A perception-driven approach to supervised dimensionality reduction for visualization[J]. Ieee transactions on visualization and computer graphics,2018,24(5):1828-1840. |
| APA | Wang, Yunhai.,Feng, Kang.,Chu, Xiaowei.,Zhang, Jian.,Fu, Chi-Wing.,...&Chen, Baoquan.(2018).A perception-driven approach to supervised dimensionality reduction for visualization.Ieee transactions on visualization and computer graphics,24(5),1828-1840. |
| MLA | Wang, Yunhai,et al."A perception-driven approach to supervised dimensionality reduction for visualization".Ieee transactions on visualization and computer graphics 24.5(2018):1828-1840. |
入库方式： iSwitch采集
来源：计算机网络信息中心
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。