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• 自动化研究所 [5]
• 地理科学与资源研究所 [2]
• 长春光学精密机械与物... [2]
• 计算技术研究所 [1]

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• OAI收割 [10]

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• 期刊论文 [7]
• 会议论文 [3]

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• 2024 [1]
• 2023 [1]
• 2022 [2]
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浏览/检索结果: 共10条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Graph Structure Aware Contrastive Multi-View Clustering 期刊论文  OAI收割 IEEE TRANSACTIONS ON BIG DATA, 2024, 卷号: 10, 期号: 3, 页码: 260-274 作者:  Chen, Rui;  Tang, Yongqiang;  Cai, Xiangrui;  Yuan, Xiaojie   |  收藏  |  浏览/下载：20/0  |  提交时间：2024/07/04 Correlation  Semantics  Big Data  Representation learning  Data models  Data mining  Analytical models  Contrastive learning  deep representation  graph embedding  multi-view clustering   Diverse Deep Matrix Factorization With Hypergraph Regularization for Multi-View Data Representation 期刊论文  OAI收割 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 11, 页码: 2154-2167 作者:  Haonan Huang;  Guoxu Zhou;  Naiyao Liang;  Qibin Zhao;  Shengli Xie   |  收藏  |  浏览/下载：14/0  |  提交时间：2023/09/22 Deep matrix factorization (DMF)  diversity  hypergraph regularization  multi-view data representation (MDR)   Seasonal Characteristics of Agricultural Product Circulation Network: A Case Study in Beijing, China 期刊论文  OAI收割 AGRONOMY-BASEL, 2022, 卷号: 12, 期号: 11, 页码: 16 作者:  Zhao, Yibo;  Cheng, Shifen;  Lu, Feng   |  收藏  |  浏览/下载：39/0  |  提交时间：2023/01/09 agricultural product system  circulation network  multi-view spatiotemporal analysis  trajectory data mining  spatial interaction  seasonality  complex network   Seasonal Characteristics of Agricultural Product Circulation Network: A Case Study in Beijing, China 期刊论文  OAI收割 AGRONOMY-BASEL, 2022, 卷号: 12, 期号: 11, 页码: 16 作者:  Zhao, Yibo;  Cheng, Shifen;  Lu, Feng   |  收藏  |  浏览/下载：24/0  |  提交时间：2023/01/09 agricultural product system  circulation network  multi-view spatiotemporal analysis  trajectory data mining  spatial interaction  seasonality  complex network   Multi-subject data augmentation for target subject semantic decoding with deep multi-view adversarial learning 期刊论文  OAI收割 INFORMATION SCIENCES, 2021, 卷号: 547, 页码: 1025-1044 作者:  Li, Dan;  Du, Changde;  Wang, Shengpei;  Wang, Haibao;  He, Huiguang   |  收藏  |  浏览/下载：27/0  |  提交时间：2021/03/02 Data augmentation  Semantic decoding  Multi-view adversarial learning  Sparse reconstruction relation   Joint multi-view representation and image annotation via optimal predictive subspace learning 期刊论文  OAI收割 INFORMATION SCIENCES, 2018, 卷号: 451, 页码: 180-194 作者:  Xue, Zhe;  Li, Guorong;  Huang, Qingming   |  收藏  |  浏览/下载：34/0  |  提交时间：2019/12/10 Multi-view data  Image annotation  Representation learning  Subspace learning  Structure preserving   Unified subspace learning for incomplete and unlabeled multi-view data 期刊论文  OAI收割 PATTERN RECOGNITION, 2017, 卷号: 67, 期号: 67, 页码: 313-327 作者:  Yin, Qiyue;  Wu, Shu;  Wang, Liang   |  收藏  |  浏览/下载：45/0  |  提交时间：2017/05/10 Multi-view Learning  Subspace Learning  Incomplete And Unlabeled Data  Multi-view Clustering  Cross-modal Retrieval   Incomplete Multi-view Clustering via Subspace Learning 会议论文  OAI收割 Melbourne, Oct 24-28 作者:  Yin, Qiyue;  Wu, Shu;  Wang, Liang   |  收藏  |  浏览/下载：25/0  |  提交时间：2016/10/24 Multi-view Clustering  Incomplete Multi-view Data  Feature Selection   Adaptive resolution storage system based on LOG-POLAR transform for multi-target trackers (EI CONFERENCE) 会议论文  OAI收割 2010 International Conference on Computer Application and System Modeling, ICCASM 2010, October 22, 2010 - October 24, 2010, Shanxi, Taiyuan, China 作者:  Zhang Y. 收藏  |  浏览/下载：22/0  |  提交时间：2013/03/25 The main constrained problem of the video monitoring and storage system is the contradiction between large field of view and storage space limitations. Not all of the video information introduced by the image sensors need to be recorded especially for some tracking system which has appointed functions to track specifically kinds of targets. For instance  the system not only works for single target  if the monitor is appointed for human face tracking  but also can work for multi-targets. High reconstruction resolution in the fovea region enables the successive application of recognition modules without sacrificing their performance  the best system appears to be concentrating on human face only and all the others considered being background  the low reconstruction resolution in the periphery helps to reduce the video data. 2010 IEEE.  the background regions needn't to be recorded in detail. For this purpose  this letter presents a real-time foveate storage system  which efficiently represents the video image in log-polar coordinates  with the foveate point centered on the target   Research on tracking approach to low-flying weak small target near the sea (EI CONFERENCE) 会议论文  OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China 作者:  Xue X.-C. 收藏  |  浏览/下载：33/0  |  提交时间：2013/03/25 Automatic target detection is very difficult in complicate background of sea and sky because of the clutter caused by waves and clouds nearby the sea-level line. In this paper  in view of the low-flying target near the sea is always above the sea-level line  we can first locate the sea-level line  and neglect the image data beneath the sea-level line. Thus the noise under the sea-level line can be suppressed  and the executive time of target segmentation is also much reduced. A new method is proposed  which first uses neighborhood averaging method to suppress background and enhance targets so as to increase SNR  and then uses the multi-point multi-layer vertical Sobel operator combined with linear least squares fitting to locate the sea-level line  lastly uses the centroid tracking algorithm to detect and track the target. In the experiment  high frame rate and high-resolution digital CCD camera and high performance DSP are applied. Experimental results show that this method can efficiently locate the sea-level line on various conditions of lower contrast  and eliminate the negative impact of the clutter caused by waves and clouds  and capture and track target real-timely and accurately.