A Tensor Based Unified Framework for Streaming Signal Online Analysis

被引：0
|
作者：
Ma, Baoze [1 ]
Wang, Xin [2 ]
Wen, Ce [2 ]
Yi, Chen [2 ]
Yang, Yuanyikai [1 ]
机构：
[1] Chongqing Univ Posts & Telecommun, Sch Optoelect Engn, Chongqing 400065, Peoples R China
[2] Chongqing Univ Posts & Telecommun, Sch Commun & Informat Engn, Chongqing 400065, Peoples R China
来源：
IEEE SIGNAL PROCESSING LETTERS | 2024年 / 31卷
基金：
中国博士后科学基金; 中国国家自然科学基金;
关键词：
Tensors; Vectors; Matrix decomposition; Streams; Kernel; Real-time systems; Linear programming; Online optimization; tensor tracking; streaming signal analysis; low-rank tensor approximation; COMPLETION;
D O I：
10.1109/LSP.2024.3413302
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
To explore the online tensor analysis technique in single-aspect streaming model, a tensor based unified framework encompassed more tensor formats than one is proposed according to the structure of the last tensor factor. We found that the temporal slice only changes the size of factor matrix corresponding to the temporal dimension in unified framework. Consequently, the block-coordinate descent strategy is utilized to calculate the temporal tensor factor and non-temporal decomposition components respectively based on exponentially weighted cost function. The simulation results indicate that the presented unified framework provides a superior reconstruction performance compared to the existing tensor tracking methods in real video scenarios.
引用
收藏
页码：2445 / 2449
页数：5
相关论文
共 50 条
  • [41] A Unified Generative Framework for Aspect-Based Sentiment Analysis
    Yan, Hang
    Dai, Junqi
    Ji, Tuo
    Qiu, Xipeng
    Zhang, Zheng
    59TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS AND THE 11TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING, VOL 1 (ACL-IJCNLP 2021), 2021, : 2416 - 2429
  • [42] Unified HMM-based layout analysis framework and algorithm
    陈明
    丁晓青
    吴佑寿
    Science China(Information Sciences), 2003, (06) : 401 - 408
  • [43] Online Feature Selection with Capricious Streaming Features: A General Framework
    Wu, Di
    He, Yi
    Luo, Xin
    Shang, Mingsheng
    Wu, Xindong
    2019 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2019, : 683 - 688
  • [44] A Streaming Machine Learning Framework for Online Aggression Detection on Twitter
    Herodotou, Herodotos
    Chatzakou, Despoina
    Kourtellis, Nicolas
    2020 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2020, : 5056 - 5067
  • [45] A Unified Tensor Framework for Clustering and Simultaneous Reconstruction of Incomplete Imaging Data
    Francis, Jobin
    Baburaj, M.
    George, Sudhish N.
    ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2020, 16 (03)
  • [46] Maximizing Streaming Flows Based on a Novel Video Streaming Framework
    Wang, Tian
    Jia, Weijia
    Zhong, Bineng
    2013 25TH INTERNATIONAL TELETRAFFIC CONGRESS (ITC), 2013,
  • [47] A deep learning-based framework For ECG signal denoising based on stacked cardiac cycle tensor
    Rasti-Meymandi, Arash
    Ghaffari, Aboozar
    BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2022, 71
  • [48] A Statistical Framework for Streaming Graph Analysis
    Fairbanks, James
    Ediger, David
    McColl, Rob
    Bader, David A.
    Gilbert, Eric
    2013 IEEE/ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING (ASONAM), 2013, : 347 - 353
  • [49] A Unified Framework for Automatic Quality-of-Experience Optimization in Mobile Video Streaming
    Liu, Yan
    Lee, Jack Y. B.
    IEEE INFOCOM 2016 - THE 35TH ANNUAL IEEE INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATIONS, 2016,
  • [50] A Unified Resource Allocation Framework for Virtual Reality Streaming over Wireless Networks
    Nguyen Quang Hieu
    Chu, Nam H.
    Dinh Thai Hoang
    Nguyen, Diep N.
    Dutkiewicz, Eryk
    ICC 2023-IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, 2023, : 3042 - 3047
12345