User attribute discovery with missing labels
文献类型：期刊论文
| 作者 | Sun G(孙干) ; Luo JB(罗杰波); Yu HB(于海斌); Cong Y(丛杨); Liu J(刘霁)
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| 刊名 | Pattern Recognition
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| 出版日期 | 2018 |
| 卷号 | 73页码:33-46 |
| ISSN号 | 0031-3203 |
| 关键词 | User attribute Smart sensor Multi-task learning Semi-supervised learning Missing labels Low rank |
| 通讯作者 | Cong Y(丛杨) |
| 产权排序 | 1 |
| 中文摘要 | In this paper, we focus on user attribute analysis by recasting such a problem as a multi-task learning issue, where each attribute is considered as an independent task. In comparison with traditional data analysis, the missing labels problem broadly presents for smart sensor data due to some objective / subjective factors, where the label incompleteness increases the difficulty significantly. Therefore, we design a semi-supervised multi-task learning model (S2MTL) to handle the missing labels issue. For modeling, we integrate the matrix factorization to learn the mapping feature dictionary and attribute space information simultaneously, and adopt the pairwise affinity similarity to incorporate the unlabeled data information, where the low rank property and model efficiency can be well controlled. For model optimization, we convert our model as two individual convex subproblems with one non-smooth, and implement an alternating direction method to generate an efficient optimal solution. State-of-the-art models have validated the effectiveness and efficiency of our proposed model via extensive experiments and comparisons, on two public datasets and our new smart building dataset. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic |
| 研究领域[WOS] | Computer Science ; Engineering |
| 关键词[WOS] | FRAMEWORK |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000412958800003 |
| 源URL | [http://ir.sia.cn/handle/173321/20844]  |
| 专题 | 沈阳自动化研究所_机器人学研究室 |
| 作者单位 | 1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China 2.Department of Computer Science, University of Rochester, Rochester, NY, 14611, United States |
| 推荐引用方式 GB/T 7714 | Sun G,Luo JB,Yu HB,et al. User attribute discovery with missing labels[J]. Pattern Recognition,2018,73:33-46. |
| APA | Sun G,Luo JB,Yu HB,Cong Y,&Liu J.(2018).User attribute discovery with missing labels.Pattern Recognition,73,33-46. |
| MLA | Sun G,et al."User attribute discovery with missing labels".Pattern Recognition 73(2018):33-46. |
入库方式： OAI收割
来源：沈阳自动化研究所
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