:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Yamashita, Keitaro, Naganuma, Kazuki, Ono, Shunsuke
Format:	Preprint
Published:	2025
Subjects:	Signal Processing Machine Learning
Online Access:	https://arxiv.org/abs/2509.14836
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Generalized Graph Signal Sampling by Difference-of-Convex Optimization
by: Yamashita, Keitaro, et al.
Published: (2023)

Robust Time-Varying Graph Signal Recovery for Dynamic Physical Sensor Network Data
by: Yamagata, Eisuke, et al.
Published: (2022)

Introducing Graph Learning over Polytopic Uncertain Graph
by: Kishida, Masako, et al.
Published: (2024)

Spatio-Spectral Structure Tensor Total Variation for Hyperspectral Image Denoising and Destriping
by: Takemoto, Shingo, et al.
Published: (2024)

Comprehensive Robust Dynamic Mode Decomposition from Mode Extraction to Dimensional Reduction
by: Nakamura, Yuki, et al.
Published: (2026)

On the Impact of Downstream Tasks on Sampling and Reconstructing Noisy Graph Signals
by: Sripathmanathan, Baskaran, et al.
Published: (2025)

Reconstruction of Graph Signals on Complex Manifolds with Kernel Methods
by: Zhang, Yu, et al.
Published: (2025)

Graph Signal Generative Diffusion Models
by: Uslu, Yigit Berkay, et al.
Published: (2025)

CPEP: Contrastive Pose-EMG Pre-training Enhances Gesture Generalization on EMG Signals
by: Cui, Wenhui, et al.
Published: (2025)

Learning Time-Varying Graph Signals via Koopman
by: Krishnan, Sivaram, et al.
Published: (2025)

Bayesian Signal Component Decomposition via Diffusion-within-Gibbs Sampling
by: Zhang, Yi, et al.
Published: (2026)

Efficient Constrained Signal Reconstruction by Randomized Epigraphical Projection
by: Ono, Shunsuke
Published: (2018)

Graph Filters for Signal Processing and Machine Learning on Graphs
by: Isufi, Elvin, et al.
Published: (2022)

Sampling and Uniqueness Sets in Graphon Signal Processing
by: Parada-Mayorga, Alejandro, et al.
Published: (2024)

An Efficient and Flexible Deep Learning Method for Signal Delineation via Keypoints Estimation
by: Atienza, Adrian, et al.
Published: (2024)

BLIS-Net: Classifying and Analyzing Signals on Graphs
by: Xu, Charles, et al.
Published: (2023)

BrainODE: Dynamic Brain Signal Analysis via Graph-Aided Neural Ordinary Differential Equations
by: Han, Kaiqiao, et al.
Published: (2024)

Learning Kronecker-Structured Graphs from Smooth Signals
by: Shi, Changhao, et al.
Published: (2025)

Adaptive Least Mean Squares Graph Neural Networks and Online Graph Signal Estimation
by: Yan, Yi, et al.
Published: (2024)

Cross-Subject Depression Level Classification Using EEG Signals with a Sample Confidence Method
by: Zhang, ZhongYi, et al.
Published: (2025)

Joint Graph Estimation and Signal Restoration for Robust Federated Learning
by: Fukuhara, Tsutahiro, et al.
Published: (2025)

Graph Distribution-valued Signals: A Wasserstein Space Perspective
by: Zhao, Yanan, et al.
Published: (2025)

WVEmbs with its Masking: A Method For Radar Signal Sorting
by: Hu, Xianan, et al.
Published: (2025)

Sequential Signal Mixing Aggregation for Message Passing Graph Neural Networks
by: Taraday, Mitchell Keren, et al.
Published: (2024)

Online Network Inference from Graph-Stationary Signals with Hidden Nodes
by: Buciulea, Andrei, et al.
Published: (2024)

Online Proximal ADMM for Graph Learning from Streaming Smooth Signals
by: Chahuara, Hector, et al.
Published: (2024)

Time Series Diffusion Method: A Denoising Diffusion Probabilistic Model for Vibration Signal Generation
by: Yi, Haiming, et al.
Published: (2023)

Generating Realistic Multi-Beat ECG Signals
by: Pöhl, Paul, et al.
Published: (2025)

Optimizing $k$ in $k$NN Graphs with Graph Learning Perspective
by: Tamaru, Asuka, et al.
Published: (2024)

Polynomial Graphical Lasso: Learning Edges from Gaussian Graph-Stationary Signals
by: Buciulea, Andrei, et al.
Published: (2024)

Missing Data in Signal Processing and Machine Learning: Models, Methods and Modern Approaches
by: Hippert-Ferrer, Alexandre, et al.
Published: (2025)

Training-Free Multi-User Generative Semantic Communications via Null-Space Diffusion Sampling
by: Grassucci, Eleonora, et al.
Published: (2024)

Learning Graph from Smooth Signals under Partial Observation: A Robustness Analysis
by: Nguyen, Hoang-Son, et al.
Published: (2025)

Robust Photoplethysmography Signal Denoising via Mamba Networks
by: Chiu, I, et al.
Published: (2025)

Conditional Generative Adversarial Networks Based Inertial Signal Translation
by: Kolakowski, Marcin
Published: (2025)

Revisiting Neighborhood Aggregation in Graph Neural Networks for Node Classification using Statistical Signal Processing
by: Ghogho, Mounir
Published: (2024)

Graph-Driven Models for Gas Mixture Identification and Concentration Estimation on Heterogeneous Sensor Array Signals
by: Wang, Ding, et al.
Published: (2024)

Fast Swap-Based Element Selection for Multiplication-Free Dimension Reduction
by: Ono, Nobutaka
Published: (2026)

Subspace Projection Methods for Fast Spectral Embeddings of Evolving Graphs
by: Eini, Mohammad, et al.
Published: (2026)

A Novel Transformer-Based Self-Supervised Learning Method to Enhance Photoplethysmogram Signal Artifact Detection
by: Le, Thanh-Dung, et al.
Published: (2024)