2018 Fiscal Year Annual Research Report
Research on real-time processing of compressive sensing and sparse representation
Project/Area Number |
16K00335
|
Research Institution | The University of Aizu |
Principal Investigator |
丁 数学 会津大学, コンピュータ理工学部, 教授 (80372829)
|
Project Period (FY) |
2016-04-01 – 2019-03-31
|
Keywords | 人工知能 / 機械学習 / スパース表現 / 圧縮センシング / 辞書学習 |
Outline of Annual Research Achievements |
[1] Lingjun Zhao, Shuxue Ding, at all, An Accurate and Robust Approach of Device-Free Localization with Convolutional Autoencoder, accepted by IEEE Internet of Things Journal (Mar. 2019). [2] Haoli Zhao, Shuxue Ding*, at all, Lp-Norm Independently Interpretable Regularization based Sparse Coding for Highly Correlated Data, IEEE Access, Vol. 7, No. 1, pp. 53542-53554 (May. 2019). [3] Huakun Huang, Shuxue Ding, at all, Improved Sparse Coding Algorithm with Device-Free Localization Technique for Intrusion Detection and Monitoring, Symmetry 2019, 11, 637; doi:10.3390/sym11050637 (May. 2019). [4] Lingjun Zhao, Shuxue Ding*, at all, Intrusion Detection based on Device-Free Localization in the Era of IoT, Symmetry 2019, 11, 630; doi:10.3390/sym11050630 (May 2019).
|
Research Products
(5 results)