Hiroyuki Shioya

An extended formula for divergence measures using invariance

M. Uchida, Hiroyuki Shioya, H. Shioya, 2005 .

Statistical Inference: The Minimum Distance Approach

A. Basu, Hiroyuki Shioya, Chanseok Park, 2011 .

Maximum entropy method for diffractive imaging.

Hiroyuki Shioya, K. Gohara, H. Shioya, 2008, Journal of the Optical Society of America. A, Optics, image science, and vision.

A Support Construction for CT Image Based on K-Means Clustering

Hiroyuki Shioya, Wisan Dhammatorn, H. Shioya, 2017 .

A generalization of lin divergence and the derivation of a new information divergence

Hiroyuki Shioya, T. Da-te, 1995 .

A study on mixture models for genetic algorithms

Hiroyuki Shioya, M. Kurihara, Jun-ichi Imai, 2003, SICE 2003 Annual Conference (IEEE Cat. No.03TH8734).

Detecting and Visualizing Stops in Dance Training by Neural Network Based on Velocity and Acceleration

Hiroyuki Shioya, Yuuki Jin, Genki Suzuki, 2022, Sensors.

Collaborative Forecasting and Analysis of Fish Catch in Hokkaido From Multiple Scales by Using Neural Network and ARIMA Model

Hiroyuki Shioya, Genki Suzuki, Masato Yamamoto, 2022, IEEE Access.

Prediction and Detection of Sewage Treatment Process Using N-BEATS Autoencoder Network

Hiroyuki Shioya, Genki Suzuki, Yue Zhang, 2022, IEEE Access.

Instructions for use Title Maximum entropy method for diffractive imaging

Hiroyuki Shioya, K. Gohara, H. Shioya, 2017 .

K-means clustering for support construction in diffractive imaging.

Hiroyuki Shioya, Kazutoshi Gohara, Yosuke Maehara, 2014, Journal of the Optical Society of America. A, Optics, image science, and vision.