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ORCIDYohei Nakada
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2020 – today
- 2023
[c22]Hibiki Sakabe, Yohei Nakada:
Enhanced Method for Computing Optimal Dribbling Routes Using Tracking Data in Basketball. BigMM 2023: 11-18- [c21]Yusuke Sawada, Yohei Nakada:
Improvement of Retrieval Process for Similar Outfit Portraits in Prototype Fashion Chatbot. BigMM 2023: 19-26 - [c20]Shunsuke Takagi, Yohei Nakada:
Formation Analysis Method for Team Sports Using Deep Graph Convolutional Neural Network with Geometric Formation Features as Input. BigMM 2023: 27-31 - [c19]Takumi Inagawa, Tomoya Hayashi, Yohei Nakada:
Validating Quantification Method for Object Visual Appeal to Motorists in Simulated Hazardous Driving Scene. ISM 2023: 108-112 - 2022
- [c18]Shintaro Ryuzaki, Kotaro Yashiro, Yohei Nakada:
Extended Computation Method of Optimal Kick-pass Plays while Considering Kickers' Run Plays in Rugby Sevens. BigMM 2022: 101-106 - [c17]Hibiki Sakabe, Yohei Nakada:
Computational Method for Determining Optimal Dribbling Routes in Basketball. BigMM 2022: 107-108 - [c16]Kotaro Yashiro, Yohei Nakada:
Prototype Tactical Board Tool for Generating Optimal Offensive Patterns in Rugby Sevens. BigMM 2022: 109-110 - [c15]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: 1-6 - [c14]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: 1476-1484 - 2021
- [c13]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: 40-48 - [c12]Rintarou Mizuno, Sorach Nakazawa, Yohei Nakada:
Simulator of Vehicle-Mounted Camera Video to Verify Dynamic Saliency Maps for Predicting Drivers' Gaze Points. SSCI 2021: 1-6 - 2020
- [c11]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: 145-148 - [c10]Sorachi Nakazawa, Yohei Nakada:
Improvement of Mixture-of-Experts-Type Model to Construct Dynamic Saliency Maps for Predicting Drivers' Attention. SSCI 2020: 2008-2015
2010 – 2019
- 2019
- [c9]Tatsuya Mimura, Yohei Nakada:
Quantification of Pass Plays Based on Geometric Features of Formations in Team Sports. SoICT 2019: 306-313 - [c8]Sorachi Nakazawa, Satoru Ushijima, Yohei Nakada:
An EM Algorithm based Method for Constructing Dynamic Saliency Maps considering Characteristics while Driving. SoICT 2019: 314-321 - [c7]Yusuke Sano, Yohei Nakada:
Improving Prediction of Pass Receivable Players in Basketball: Simulation-Based Approach with Kinetic Models. SoICT 2019: 328-335 - 2018
- [c6]Natsumi Suzuki, Yohei Nakada:
Effect-Selection Tool using Visual Saliency Maps and its Evaluations. SCIS&ISIS 2018: 455-460 - [c5]Risa Yamamoto, Yohei Nakada:
Improvement of Visualization Method for Attack Patterns in Team Sports. SCIS&ISIS 2018: 461-466 - 2017
- [c4]Natsumi Suzuki, Yohei Nakada:
Effects selection technique for improving visual attraction via visual saliency map. SSCI 2017: 1-8 - [c3]Risa Yamamoto, Toshiki Abe, Yohei Nakada:
Visualization method of relationship among team sports formation components in shoot scenes. SSCI 2017: 1-8 - 2016
- [j6]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): 3081-3119 (2016) - [j5]Yohei Nakada
:
Improving on Deterministic Approximate Bayesian Inferences for Mixture Distributions. IEEE Trans. Neural Networks Learn. Syst. 27(11): 2282-2300 (2016) - 2014
- [j4]Yohei Nakada, Makio Wakahara, Takashi Matsumoto:
Online Bayesian Learning With Natural Sequential Prior Distribution. IEEE Trans. Neural Networks Learn. Syst. 25(1): 40-54 (2014) - 2013
- [j3]Tomoaki Kimura, T. Tokuda, Yohei Nakada, T. Nokajima, Takashi Matsumoto, Arnaud Doucet:
Expectation-maximization algorithms for inference in Dirichlet processes mixture. Pattern Anal. Appl. 16(1): 55-67 (2013) - 2012
- [j2]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): 59-72 (2012) - 2011
- [c2]Yohei Nakada:
An Improved Deterministic Implementation Method for Bayesian Mixture Distributions. ICMLA (1) 2011: 112-117
2000 – 2009
- 2005
- [j1]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): 129-145 (2005) - 2001
- [c1]Yohei Nakada, Takayuki Kurihara, Takashi Matsumoto:
Bayesian MCMC nonlinear time series prediction. ICASSP 2001: 3509-3512
Coauthor Index
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