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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 6 of 6  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
NS 2023-10-06
15:45		 Hokkaido Hokkaidou University + Online
(Primary: On-site, Secondary: Online)		 Experiment of Group Construction for Location-Based Distributed Machine Learning
Ryota Hasegawa (SIT), Shota Ono (UTokyo), Taku Yamazaki, Takumi Miyoshi (SIT) NS2023-105		 Distributed machine learning (DML), which executes learning process by cooperating with multiple computers via a network... [more] NS2023-105
pp.168-171
ICM 2023-03-17
14:45		 Okinawa Okinawa Prefectural Museum and Art Museum
(Primary: On-site, Secondary: Online)		 A Location-based Group Construction Method for Distributed Machine Learning
Ryota Hasegawa (SIT), Shota Ono (Univ. of Tokyo), Taku Yamazaki, Takumi Miyoshi (SIT) ICM2022-60		 Recently, machine learning (ML) has been utilized in various situations as a technology for learning from large amounts ... [more] ICM2022-60
pp.101-104
CPM, ED, LQE 2022-11-25
13:20		 Aichi Winc Aichi (Aichi Industry & Labor Center)
(Primary: On-site, Secondary: Online)		 Fabrication of AlGaN-based UV-B semiconductor lasers and their device performance
Ayumu Yabutani, Ryota Hasegawa, Ryosuke kondo, Eri Matsubara (Meijo Univ.), Sho Iwayama (Meijo Univ./Mie Univ.), Yoshito Jin, Tatsuya Matsumoto, Masamitsu Toramaru (JSW), Hironori Torii (JSW afty), Daichi Imai, Tetsuya Takeuchi, Satoshi Kamiyama, Motoaki Iwaya (Meijo Univ.), Hideto Miyake (Mie Univ.) ED2022-44 CPM2022-69 LQE2022-77		  [more] ED2022-44 CPM2022-69 LQE2022-77
pp.89-92
IBISML 2011-11-10
15:45		 Nara Nara Womens Univ. Image Segmentation and Restoration using Switching State-Space Model and Variational Bayesian Method
Ryota Hasegawa (Kansai Univ.), Ken Takiyama, Masato Okada (Univ. of Tokyo), Seiji Miyoshi (Kansai Univ.) IBISML2011-67		 We derive a deterministic algorithm that restores and segments image using switching state-space model and variational B... [more] IBISML2011-67
pp.169-174
NC 2011-07-26
11:00		 Hyogo Graduate School of Engineering, Kobe University Image Segmentation and Restoration using Region-Based Hidden Variables and Belief Propagation
Ryota Hasegawa (Kansai Univ.), Masato Okada (Univ. of Tokyo), Seiji Miyoshi (Kansai Univ.) NC2011-35		 We derive a deterministic algorithm that restores and segments an image using belief propagation and a variational Bayes... [more] NC2011-35
pp.81-86
IBISML 2010-11-04
15:00		 Tokyo IIS, Univ. of Tokyo [Poster Presentation] Image Segmentation by Region-Based Latent Variables and Belief Propagation
Ryota Hasegawa, Seiji Miyoshi (Kansai Univ.), Masato Okada (Univ. of Tokyo) IBISML2010-71		 To represent edges in image processing based on Bayesian inference, it is very effective to introduce latent variables. ... [more] IBISML2010-71
pp.91-97
 Results 1 - 6 of 6  /   
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