Ryoya Yamasaki

According to our database, Ryoya Yamasaki authored at least 10 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Convergence Analysis of Mean Shift.

Ryoya Yamasaki, Toshiyuki Tanaka

IEEE Trans. Pattern Anal. Mach. Intell., October, 2024

Remarks on Loss Function of Threshold Method for Ordinal Regression Problem.

Ryoya Yamasaki, Toshiyuki Tanaka

CoRR, 2024

Parallel Algorithm for Optimal Threshold Labeling of Ordinal Regression Methods.

Ryoya Yamasaki, Toshiyuki Tanaka

CoRR, 2024

Convergence Analysis of Blurring Mean Shift.

Ryoya Yamasaki, Toshiyuki Tanaka

CoRR, 2024

2023

Optimal Threshold Labeling for Ordinal Regression Methods.

Ryoya Yamasaki

Trans. Mach. Learn. Res., 2023

Label Smoothing is Robustification against Model Misspecification.

Ryoya Yamasaki, Toshiyuki Tanaka

CoRR, 2023

Optimal Kernel for Kernel-Based Modal Statistical Methods.

Ryoya Yamasaki, Toshiyuki Tanaka

CoRR, 2023

2022

Unimodal Likelihood Models for Ordinal Data.

Ryoya Yamasaki

Trans. Mach. Learn. Res., 2022

2020

Properties of Mean Shift.

Ryoya Yamasaki, Toshiyuki Tanaka

IEEE Trans. Pattern Anal. Mach. Intell., 2020

2019

Kernel Selection for Modal Linear Regression: Optimal Kernel and IRLS Algorithm.

Ryoya Yamasaki, Toshiyuki Tanaka

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019