Yohei Nakada

Publication Activity (10 Years)

Years Active: 2001-2023
Publications (10 Years): 22

Top Topics

Bayesian Learning

Geometric Features

Top Venues

Publications

Yusuke Sawada, Yohei Nakada
Improvement of Retrieval Process for Similar Outfit Portraits in Prototype Fashion Chatbot. BigMM (2023)
Hibiki Sakabe, Yohei Nakada
Enhanced Method for Computing Optimal Dribbling Routes Using Tracking Data in Basketball. BigMM (2023)
Takumi Inagawa, Tomoya Hayashi, Yohei Nakada
Validating Quantification Method for Object Visual Appeal to Motorists in Simulated Hazardous Driving Scene. ISM (2023)
Shunsuke Takagi, Yohei Nakada
Formation Analysis Method for Team Sports Using Deep Graph Convolutional Neural Network with Geometric Formation Features as Input. BigMM (2023)
Shintaro Ryuzaki, Kotaro Yashiro, Yohei Nakada
Extended Computation Method of Optimal Kick-pass Plays while Considering Kickers' Run Plays in Rugby Sevens. BigMM (2022)
Hibiki Sakabe, Yohei Nakada
Computational Method for Determining Optimal Dribbling Routes in Basketball. BigMM (2022)
Yusuke Sawada, Akari Tanabe, Yohei Nakada
A Chatbot to Search for Similar Fashion Photos and Reference Fashion Coordinators via Body Part and Fashion Item Segmentations. SSCI (2022)
Rintarou Mizuno, Yohei Nakada
Improving Computational Method of Dynamic Saliency Maps for Estimating Drivers' Fixation Points Based on Issues Extracted via In-vehicle Camera Video Simulator. SCIS/ISIS (2022)
Kotaro Yashiro, Yohei Nakada
Prototype Tactical Board Tool for Generating Optimal Offensive Patterns in Rugby Sevens. BigMM (2022)
Shintaro Ryuzaki, Kotaro Yashiro, Yohei Nakada
Computational Method of Optimal Kick-pass Plays Considering Run Plays after Catches in Seven-a-side Rugby. BigMM (2021)
Rintarou Mizuno, Sorach Nakazawa, Yohei Nakada
Simulator of Vehicle-Mounted Camera Video to Verify Dynamic Saliency Maps for Predicting Drivers' Gaze Points. SSCI (2021)
Kotaro Yashiro, Yohei Nakada
Computational Method for Optimal Attack Play Consisting of Run Plays and Hand-pass Plays for Seven-a-side Rugby. ISM (2020)
Sorachi Nakazawa, Yohei Nakada
Improvement of Mixture-of-Experts-Type Model to Construct Dynamic Saliency Maps for Predicting Drivers' Attention. SSCI (2020)
Yusuke Sano, Yohei Nakada
Improving Prediction of Pass Receivable Players in Basketball: Simulation-Based Approach with Kinetic Models. SoICT (2019)
Tatsuya Mimura, Yohei Nakada
Quantification of Pass Plays Based on Geometric Features of Formations in Team Sports. SoICT (2019)
Sorachi Nakazawa, Satoru Ushijima, Yohei Nakada
An EM Algorithm based Method for Constructing Dynamic Saliency Maps considering Characteristics while Driving. SoICT (2019)
Natsumi Suzuki, Yohei Nakada
Effect-Selection Tool using Visual Saliency Maps and its Evaluations. SCIS&ISIS (2018)
Risa Yamamoto, Yohei Nakada
Improvement of Visualization Method for Attack Patterns in Team Sports. SCIS&ISIS (2018)
Natsumi Suzuki, Yohei Nakada
Effects selection technique for improving visual attraction via visual saliency map. SSCI (2017)
Risa Yamamoto, Toshiki Abe, Yohei Nakada
Visualization method of relationship among team sports formation components in shoot scenes. SSCI (2017)
Yohei Nakada
Improving on Deterministic Approximate Bayesian Inferences for Mixture Distributions. IEEE Trans. Neural Networks Learn. Syst. 27 (11) (2016)
Go Kobayashi, Hiroki Hatakeyama, Kosuke Ota, Yohei Nakada, Takashi Kaburagi, Takashi Matsumoto
Predicting viewer-perceived activity/dominance in soccer games with stick-breaking HMM using data from a fixed set of cameras. Multim. Tools Appl. 75 (6) (2016)
Yohei Nakada, Makio Wakahara, Takashi Matsumoto
Online Bayesian Learning With Natural Sequential Prior Distribution. IEEE Trans. Neural Networks Learn. Syst. 25 (1) (2014)
Shigeru Motoi, Toshie Misu, Yohei Nakada, Tomohiro Yazaki, Go Kobayashi, Takashi Matsumoto, Nobuyuki Yagi
Bayesian event detection for sport games with hidden Markov model. Pattern Anal. Appl. 15 (1) (2012)
Yohei Nakada
An Improved Deterministic Implementation Method for Bayesian Mixture Distributions. ICMLA (1) (2011)
Yohei Nakada, Takashi Matsumoto, Takayuki Kurihara, Kuniaki Yosui
Bayesian reconstructions and predictions of nonlinear dynamical systems via the hybrid Monte Carlo scheme. Signal Process. 85 (1) (2005)
Yohei Nakada, Takayuki Kurihara, Takashi Matsumoto
Bayesian MCMC nonlinear time series prediction. ICASSP (2001)