Koki Yamada

Orcid: 0000-0001-5720-7553

According to our database1, Koki Yamada authored at least 19 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Versatile Time-Frequency Representations Realized by Convex Penalty on Magnitude Spectrogram.
IEEE Signal Process. Lett., 2023

Clustering of Time-Varying Graphs Based on Temporal Label Smoothness.
CoRR, 2023

Enhancing Teleoperated Robot Customer Service through Speech Monitoring and Filtering.
IROS, 2023

Restoration of Time-Varying Graph Signals using Deep Algorithm Unrolling.
Proceedings of the IEEE International Conference on Acoustics, 2023

Frequency Bandwidth Reduction of High-Frequency Intra-Body Propagation Characteristics Used for Attacker's Touch Detection in Fingerprint Authentication.
Proceedings of the 12th IEEE Global Conference on Consumer Electronics, 2023

2022
Graph Signal Restoration Using Nested Deep Algorithm Unrolling.
IEEE Trans. Signal Process., 2022

Generalization of Limit Theorems for Connected-(<i>r</i>, <i>s</i>)-out-of- (<i>m</i>, <i>n</i>): F Lattice Systems.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2022

Graph Filter Transfer via Probability Density Ratio Weighting.
CoRR, 2022

Edge Sampling of Graphs Based on Edge Smoothness.
Proceedings of the IEEE International Conference on Acoustics, 2022

Graph Learning Information Criterion.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Temporal Multiresolution Graph Learning.
IEEE Access, 2021

Graph Signal Denoising Using Nested-Structured Deep Algorithm Unrolling.
Proceedings of the IEEE International Conference on Acoustics, 2021

Design of Graph Signal Sampling Matrices for Arbitrary Signal Subspaces.
Proceedings of the IEEE International Conference on Acoustics, 2021

Node Clustering of Time-Varying Graphs Based on Temporal Label Smoothness.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021

2020
Graph Blind Deconvolution with Sparseness Constraint.
CoRR, 2020

Time-Varying Graph Learning with Constraints on Graph Temporal Variation.
CoRR, 2020

Learning Graphs with Multiple Temporal Resolutions.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2020

2019
Underwater Image Synthesis from RGB-D Images and its Application to Deep Underwater Image Restoration.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Time-varying Graph Learning Based on Sparseness of Temporal Variation.
Proceedings of the IEEE International Conference on Acoustics, 2019


  Loading...