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ORCIDToshihiko Watanabe
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2010 – 2019
- 2019
[c26]Toshihiko Watanabe:
Sampling Strategies for Fuzzy RANSAC Algorithm Based on Reinforcement Learning. IUKM 2019: 122-134- 2018
- [j8]Masahiro Fukui
, Toshihiko Watanabe, Minato Kanazawa:
Sound Source Separation for Plural Passenger Speech Recognition in Smart Mobility System. IEEE Trans. Consumer Electron. 64(3): 399-405 (2018) - [c25]Masahiro Fukui, Youhei Wakisaka, Toshihiko Watanabe, Minato Kanazawa:
Sound source separation for plural passenger speech recognition in smart mobility system. ICCE 2018: 1-2 - 2016
- [j7]Onur Altintas, Toshihiko Watanabe, Haris Kremo, Hideaki Tanaka, Hitoshi Nakao, Kazuya Tsukamoto, Masato Tsuru:
Design and Experimental Evaluation of a Database-Assisted V2V Communications System Over TV White Space. J. Signal Process. Syst. 83(1): 45-55 (2016) - [c24]Toshihiko Watanabe, Tomoki Ishimaru:
A Least Median of Squares Method Based on Fuzzy Reinforcement Learning for Modeling of Computer Vision Applications. SCIS&ISIS 2016: 65-71 - 2015
- [j6]Toshihiko Watanabe, Yuichi Saito:
Camera Modeling for 3D Sensing Using Fuzzy Modeling Concept Based on Stereo Vision. J. Adv. Comput. Intell. Intell. Informatics 19(1): 158-164 (2015) - [j5]Toshihiko Watanabe, Takeshi Kamai, Tomoki Ishimaru:
Robust Estimation of Camera Homography by Fuzzy RANSAC Algorithm with Reinforcement Learning. J. Adv. Comput. Intell. Intell. Informatics 19(6): 833-842 (2015) - 2014
- [c23]Toshihiko Watanabe, Yuichi Saito, Takeshi Kamai, Tomoki Ishimaru:
Tile coding based camera modeling for 3D sensing. iCAST 2014: 1-6 - [c22]Toshihiko Watanabe, Takeshi Kamai, Tomoki Ishimaru:
Robust estimation for camera homography by fuzzy RANSAC algorithm with reinforcement learning. SCIS&ISIS 2014: 712-717 - 2013
- [c21]Toshihiko Watanabe, Yuichi Saito:
Camera Modeling Technique of 3D Sensing Based on Tile Coding for Computer Vision. BODYNETS 2013: 347-350 - [c20]Toshihiko Watanabe:
A fuzzy RANSAC algorithm based on reinforcement learning concept. FUZZ-IEEE 2013: 1-6 - [c19]Toshihiko Watanabe, Yuichi Saito:
Practicable camera modeling technique applying fuzzy modeling for 3D sensing based on stereo vision. ICST 2013: 434-439 - 2012
- [j4]Toshihiko Watanabe, Hirosato Seki:
Modeling Approach Based on Modular Fuzzy Model. J. Adv. Comput. Intell. Intell. Informatics 16(5): 653-661 (2012) - [c18]Yuichi Saito, Toshihiko Watanabe:
A 3D sensing technique using fuzzy modeling based on stereo vision. SCIS&ISIS 2012: 2138-2142 - [c17]Toshihiko Watanabe, Ryosuke Fujioka:
Fuzzy association rules mining algorithm based on equivalence redundancy of items. SMC 2012: 1960-1965 - 2011
- [j3]Toshihiko Watanabe:
An Improvement of Fuzzy Association Rules Mining Algorithm Based on Redundancy of Rules. J. Adv. Comput. Intell. Intell. Informatics 15(9): 1248-1255 (2011) - [c16]Toru Sawa, Toshihiko Watanabe:
Instruction knowledge acquisition for reinforcement learning scheme by PSO algorithm. FUZZ-IEEE 2011: 2737-2744 - [c15]Toru Sawa, Toshihiko Watanabe:
Learning of keepaway task for RoboCup soccer agent based on Fuzzy Q-Learning. SMC 2011: 250-256 - [c14]Toshihiko Watanabe:
Fuzzy association rules mining algorithm based on output specification and redundancy of rules. SMC 2011: 283-289 - [c13]Fumitaka Kondo, Toshihiko Watanabe:
A study on distributed parameter free genetic algorithm for TSP problem. SMC 2011: 675-680 - 2010
- [c12]Toshihiko Watanabe, Toru Sawa:
Instruction for reinforcement learning agent based on sub-rewards and forgetting. FUZZ-IEEE 2010: 1-7
2000 – 2009
- 2009
- [c11]Tatsuya Wada, Takuya Okawa, Toshihiko Watanabe:
A study on hierarchical modular reinforcement learning for multi-agent pursuit problem based on relative coordinate states. CIRA 2009: 302-308 - [c10]Toshihiko Watanabe:
A study on multi-agent reinforcement learning problem based on hierarchical modular fuzzy model. FUZZ-IEEE 2009: 2041-2046 - [c9]Toshihiko Watanabe:
Implementation of Fuzzy Q-Learning Based on Modular Fuzzy Model and Parallel Structured Learning. SMC 2009: 1338-1344 - 2008
- [c8]Toshihiko Watanabe, Tatsuya Wada:
Reinforcement learning based on modular fuzzy model with gating unit. SMC 2008: 1806-1811 - 2007
- [c7]Toshihiko Watanabe, Yoshiya Takahashi:
Hierarchical reinforcement learning using a modular fuzzy model for multi-agent problem. SMC 2007: 1681-1686 - 2006
- [c6]Toshihiko Watanabe, Hirokazu Takahashi:
A Quantitative Association Rule Mining Algorithm Based on Clustering Algorithm. SMC 2006: 2652-2657 - [c5]Toshihiko Watanabe, Shingo Katayama, Ryosuke Fujioka:
Improvement of Collaborative Filtering Based on Fuzzy Reasoning Model. SMC 2006: 4790-4795 - 2004
- [c4]Toshihiko Watanabe:
Mining fuzzy association rules of specified output field. SMC (6) 2004: 5754-5759 - 2003
- [c3]Toshihiko Watanabe, Akira Kitamura, Koichi Higuchi, Hideji Ikeda:
Intelligent manufacturing database techniques for quality and process design of steel plate. ETFA (2) 2003: 596-603 - [c2]Toshihiko Watanabe, Makishi Nakayama:
Fuzzy rule extraction based on the mining generalized association rules. SMC 2003: 2690-2695 - 2001
- [c1]Toshihiko Watanabe, Yusuke Inutsuka, Kumiko Tanaka-Ishii, Hiroshi Nakagawa:
Text Entry/Conversion Systems for Mobile Phones. NLPRS 2001: 781-782
1990 – 1999
- 1996
- [j2]Hiroshi Narazaki, Toshihiko Watanabe:
A case-based approach for modeling nonlinear systems. Fuzzy Sets Syst. 77(1): 77-86 (1996) - [j1]Hiroshi Narazaki, Toshihiko Watanabe, Masaki Yamamoto:
Reorganizing knowledge in neural networks: an explanatory mechanism for neural networks in data classification problems. IEEE Trans. Syst. Man Cybern. Part B 26(1): 107-117 (1996)
Coauthor Index
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