Informatics, Sensitivity (kansei) informatics, Sensitivity Informatics/Soft Computing

Informatics, Statistical science

Informatics, Soft computing

Informatics, Intelligent informatics

自己組織化マップとそのツール
Contributor
01 Aug. 2012

Actual Experiments of Sailing Robot Avoiding Obstacle
Kensei Takeda; Kanta Tachibana
Journal of the Robotics Society of Japan, 15 Jul. 2022, [Reviewed]
Last, Corresponding

Development of Interface for Visualizing the Center of Gravity of Caregiver’s Body Segment.
Nihira TAIGA(Kogakuin University); Kanta TACHIBANA; Yukie ABE; Ayako ITO; Ai KAWABATA
International Society of Affective Science and Engineering (ISASE), The 8th International Symposium on Affective Science and Engineering, 27 Mar. 2022, [Reviewed]

New Applications of Clifford’s Geometric Algebra
Stephane Breuils; Kanta Tachibana; Eckhard Hitzer
Advances in Applied Clifford Algebras, 14 Feb. 2022, [Reviewed]

Human action recognition method based on conformal geometric algebra and recurrent neural network
N.H.V. Nguyen; M.T. Pham; P.H. Do; C.T. Pham; K. Tachibana
Information and Control Systems, 31 Oct. 2020, [Reviewed]
Last

Difference between Human and Machine in Feeling about Similarity of Melodies
Kanta TACHIBANA and Yuta TAKAGI
Proc. Int'l Symposium on Affective Science & Engineering 2019, 17 Mar. 2019, [Reviewed]

Wind Prediction Performance of Complex Neural Network with ReLU Activation Function
Kanta Tachibana and Kentaro Otsuka
Proc. of the SICE Annual Conference 2018, 11 Sep. 2018, [Reviewed]

Human Activity Recognition Based on Weighted Sum Method and Combination of Feature Extraction Methods
Nang Hung Van Nguyen; Minh Tuan Pham; Nho Dai Ung; Kanta Tachibana
International Journal of Intelligent Information Systems, 13 Jun. 2018, [Reviewed]

A Study on Observation Model of PHD Filter for Estimating Behavior of Bus Passenger
Tetsushi Minami; and Kanta Tachibana
The 16th Int'l Symposium on Advanced Technology (ISAT16), 02 Nov. 2017, [Reviewed]

The fast Gaussian Distribution based AdaBoost Algorithm for Face Detection
Nang Hung Van NGUYEN; Minh Tuan PHAM; Phuc Hao DO; Kanta TACHIBANA
The 16th Int'l Symposium on Advanced Technology (ISAT16), 02 Nov. 2017, [Reviewed]

Feature extraction for classification method using principal component based on conformal geometric algebra
Mihn Tuan Pham; Phuc Hao Do; and Kanta Tachibana
Proc. World Congress on Computational Intelligence, Int'l Joint Conf. on Neural Networks, 25 Jul. 2016

A Conformal Geometric Algebra Based Clustering Method and Its Applications
Minh Tuan Pham and Kanta Tachibana
Advances in Applied Clifford Algebras, 23 Apr. 2015, [Reviewed]

Feature Extraction with Space Folding Model and its Application to Machine Learning
Minh Tuan Pham; Tomohiro Yoshikawa; Takeshi Furuhashi; and Kanta Tachibana
Journal of Advanced Computational Intelligence and Intelligent Informatics, 01 Aug. 2011, [Reviewed]

Carrier method for the general evaluation and control of pose, molecular conformation, tracking and the like.
Eckhard M. S. Hitzer; Kanta Tachibana; Sven Buchholz; and Isseki Yu.
Advances in Applied Clifford Algebras, 01 Jul. 2009, [Reviewed]

Visualization of huge climate data with high speed spherical self-organizing map.
Norihiko Sugimoto; Kanta Tachibana; Hideo Shiogama; and Toru Nozawa.
Journal of Advanced Computational Intelligence and Intelligent Informatics, 01 May 2009, [Reviewed]

Evaluation of rower’s skill using fuzzy modeling
Kanta Tachibana; Takeshi Furuhashi; Manabu Shimoda; Yasuo Kawakami; and Tetsuo Fukunaga
Int'l Research in Sports Biomechanics, Youlian Hong, ed, Jul. 2002, [Reviewed]

A structure identification method of submodels for hierarchical fuzzy modeling using multiple objective genetic algorithm
Kanta Tachibana and Takeshi Furuhashi
Int'l Journal of Intelligent Systems, May 2002, [Reviewed]

An application of fuzzy modeling to analysis of rowing boat speed
Kanta Tachibana; Takeshi Furuhashi; Manabu Shimoda; Yasuo Kawakami; and Tetsuo Fukunaga
Fuzzy Learning and Applications, Int'l Series on Computational Intelligence, Marco Russo and Lakhmi C. Jain, eds, Dec. 2000, [Reviewed]

Uneven input space division and balance of generality and conciseness of submodels for hierarchical fuzzy modeling
Kanta Tachibana and Takeshi Furuhashi
Journal of Advanced Computational Intelligence, 2000, [Reviewed]

Uneven allocation of membership functions for fuzzy modeling of multi-input system
Kanta Tachibana and Takeshi Furuhashi
Neuro-Fuzzy Techniques for Intelligent Information Systems, Nikola Kasabov and Robert Kozma, eds, Jun. 1999, [Reviewed]

A proposal of fuzzy modeling method with generation/deletion of membership functions
Kanta Tachibana; Takeshi Furuhashi; Yoshiki Uchikawa; Youko Fujime; and Masashi Yamaguchi
Journal of Japan Society for Fuzzy Theory and Systems, 1999, [Reviewed]

Generality and conciseness of submodels in hierarchical fuzzy modeling
Kanta Tachibana and Takeshi Furuhashi
Simulated Evolution and Learning, Lecture Notes in Computer Science, 1999, [Reviewed]

車内カメラ映像から複数物体の状態を推定するパーティクルフィルタの検討
01 Mar. 2018, [Invited]

Modeling of Behavior in Bus for Counting Multiple Passengers without Identification
Tetsushi Minami and Kanta Tachibana
Proc. The 17th World Congress on International Fuzzy Systems Association and the 9th International Conference on Soft Computing and Intelligent Systems, 30 Jun. 2017

Effect of an ensemble algorithm in reinforcement learning for garbage-collection sailing
Kanta Tachibana and Ryuta Fukazawa
Proc. 9th Int'l Robotic Sailing Conf., 10 Sep. 2016

Consideration of state representation for semi-autonomous reinforcement learning of sailing within a navigable area
Hideaki Manabe and Kanta Tachibana
Robotic Sailing 2015, 31 Aug. 2015

Acquisition of Cooperative Behaviour among Heterogeneous Agents using Step-up Reinforcement Learning
Wataru Sato and Kanta Tachibana
10th Asia-Pacific Symposium on Information and Telecommunication Technologies, 07 Aug. 2015

An algorithm for fuzzy clustering based on conformal geometric algebra
Minh Tuan Pham and Kanta Tachibana
Proc. The Fifth International Conference KSE2013, Advances in Intelligent and Soft Computing, 17 Oct. 2013

Estimation of Personal Listener's Guess of Speaker's Emotion
Yoshihiro Nihei and Kanta Tachibana
Int'l Conf. on Kansei Engineering and Emotion Research (KEER2012), 23 May 2012

クリフォードニューロコンピューティングとパターン認識
10 Apr. 2012

A Clustering Method for Geometric Data based on Approximation using Conformal Geometric Algebra
Minh Tuan Pham; Kanta Tachibana; Tomohiro Yoshikawa and Takeshi Furuhashi
2011 IEEE Int'l Conf. on Fuzzy Systems (FUZZ-IEEE 2011), 30 Jun. 2011

キーワード解説 ベイズの定理
10 Jun. 2011

Feature Extraction based on Space Folding Model and Application to Machine Learning
Minh Tuan Pham; Kanta Tachibana; Tomohiro Yoshikawa and Takeshi Furuhashi
Joint 5th Int’l Conf. on Soft Computing and Intelligent Systems and 11th Int’l Symposium on advanced Intelligent Systems, 08 Dec. 2010

A Note on a Statistical Hypothesis Testing for Removing Noise by the Random Matrix Theory and Its Application to Co-Volatility Matrices
Takayuki Morimoto and Kanta Tachibana
Recent Advances in Financial Engineering, Masaaki Kijima, Chiaki Hara, Keiichi Tanaka and Yuki Muromachi eds., 30 Jun. 2010

Classification and Clustering of Spatial Patterns with Geometric Algebra
Minh Tuan Pham; Kanta Tachibana; Eckhard M.S. Hitzer; Tomohiro Yoshikawa; and Takeshi Furuhashi
Geometric Algebra Computing in Engineering and Computer Science, Springer, Eduardo Bayro-Corrochano and Gerik Scheuermann eds., 01 May 2010

Robust feature extractions from geometric data using geometric algebra.
Minh Tuan Pham; Tomohiro Yoshikawa; Takeshi Furuhashi; and Kanta Tachibana.
IEEE Int'l Conf. on Systems, Man and Cybernetics 2009, 14 Oct. 2009

Pattern recognition based on two-dimensional dendrogram map using spring model.
Minh Tuan Pham; Tomohiro Yoshikawa; Takeshi Furuhashi; and Kanta Tachibana.
The 1st Int'l Workshop on Aware Computing, 17 Sep. 2009

Feature extraction by geometric algebra from geometric data
Proc. the Institute of Statistical Mathematics, Dec. 2008

Robust geometric feature extraction and classification
Minh Tuan Pham; Kanta Tachibana; Eckhard Hitzer; Sven Buchholz; Tomohiro Yoshikawa; and Takeshi Furuhashi
Int'l Symposium on Advanced Mechanical and Power Engineering (ISAMPE 2008), 09 Oct. 2008

Application of high speed spherical self-organizing map to climate research
Norihiko Sugimoto; Kanta Tachibana; Hideo Shiogama; and Toru Nozawa
Joint 4th Int'l Conf. on Soft Computing and Intelligent Systems and 9th Int'l Symposium on Advanced Intelligent Systems (SCIS&ISIS2008), 17 Sep. 2008

Coordinate independent update formulas for versor Clifford neurons
Sven Buchholz; Eckhard Hitzer; and Kanta Tachibana
Joint 4th Int'l Conf. on Soft Computing and Intelligent Systems and 9th Int'l Symposium on Advanced Intelligent Systems (SCIS&ISIS2008), 17 Sep. 2008

Clustering of questionnaire based on features extracted by geometric algebra
Minh Tuan Pham; Kanta Tachibana; Eckhard Hitzer; Tomohiro Yoshikawa; and Takeshi Furuhashi
Joint 4th Int'l Conf. on Soft Computing and Intelligent Systems and 9th Int'l Symposium on Advanced Intelligent Systems (SCIS&ISIS2008), 17 Sep. 2008

Feature extractions with geometric algebra for classification of objects
Minh Tuan Pham; Kanta Tachibana; Eckhard M. S. Hitzer; Sven Buchholz; Tomohiro Yoshikawa; and Takeshi Furuhashi
Int'l Joint Conf. on Neural Networks (IJCNN2008), 01 Jun. 2008

Geometric algebra feature extraction and classification
Minh Tuan Pham; Kanta Tachibana; Eckhard M. S. Hitzer; Sven Buchholz; Tomohiro Yoshikawa; and Takeshi Furuhashi
8th Int'l Conf. on Clifford Algebras (ICCA8), 26 May 2008

Feature extractions with geometric algebra for classification of objects
2008

Optimal learning rate of Clifford neurons
Sven Buchholz; Kanta Tachibana; and Eckhard M. S. Hitzer
Lecture Notes in Computer Science, 09 Sep. 2007

Self-organizing map with generating and moving neurons in visible space
Kanta Tachibana and Takeshi Furuhashi
Journal of Advanced Computational Intelligence and Intelligent Informatics, Jul. 2007, [Reviewed]

Self-organizing map with generating and moving neurons in visible space
2007

Optimal learning rate of Clifford neurons
2007

Muscle cross-sectional areas and performance power of limbs and trunk in the rowing motion
Kanta Tachibana; Kazuya Yashiro; Jun Miyazaki; Yasuo Ikegam; Mitsuru Higuchi
SPORTS BIOMECHANICS, Jan. 2007

Optimal learning rate of Clifford neurons
Lecture Notes in Computer Science. 17th International Conference Artificial Neural Networks - ICANN 2007, Porto, Portugal, Proceedings, Part I., 2007

Self-organizing map with centroidal Voronoi tessellation and generation of neurons
Kanta Tachibana and Takeshi Furuhashi
Joint 3rd Int'l Conf. on Soft Computing and Intelligent Systems and 7th Int'l Symposium on Advanced Intelligent Systems (SCIS&ISIS2006), 20 Sep. 2006

A method to evaluate topological information for self-organizing maps
Kanta Tachibana and Takeshi Furuhashi
Joint 3rd Int'l Conf. on Soft Computing and Intelligent Systems and 7th Int'l Symposium on Advanced Intelligent Systems (SCIS&ISIS2006), 20 Sep. 2006

Self-organizing map with centroidal Voronoi tessellation and generation of neurons
2006

A method to evaluate topological information for self-organizing maps
2006

Geometric algebra as a common language for neural computing of body motion
Kanta Tachibana; Tomohiro Yoshikawa; and Takeshi Furuhashi
Int'l Symposium on Computer Simulation in Biomechanics, 28 Jul. 2005

Effect of rowing for older men in aspects of muscular size, explosive and aerobic power
Mitsuru Higuchi; Jun Miyazaki; Kanta Tachibana; and Kazuya Yashiro
Medicine & Science in Sports & Exercise, May 2004

Relationship between partial motion power during rowing and muscle crosssectional areas
Kanta Tachibana; Jun Miyazaki; Kazuya Yashiro; Tomoe Tani; Chiyoko Usui; and Mitsuru Higuchi
American College of Sports Medicine Annual Meeting, May 2003

2000 meter rowing power and muscle cross-sectional areas
Kazuya Yashiro; Kanta Tachibana; Chiyoko Usui; Jun Miyazaki; Tomoe Tani; and Mitsuru Higuchi
American College of Sports Medicine Annual Meeting, May 2003

Force and speed of partial motions in on-water and simulated rowing
Kanta Tachibana
Int'l Symposium on Biomechanics in Sports, Jul. 2002

Relationships between muscle power patterns and rowing performance
Kanta Tachibana; Takeshi Furuhashi; Manabu Shimoda; Yasuo Kawakami; and Tetsuo Fukunaga
Int'l Symposium on Biomechanics, Jul. 2001

A proposal of computer simulation combined with fuzzy modeling for effective feedback to rower
Kanta Tachibana; Takeshi Furuhashi; Manabu Shimoda; Yasuo Kawakami; and Tetsuo Fukunaga
Int'l Symposium on Computer Simulation in Biomechanics, Jul. 2001

Suggestion for rowers obtained by inverse dynamics and fuzzy modeling
Kanta Tachibana; Takeshi Furuhashi; Manabu Shimoda; Yasuo Kawakami; and Tetsuo Fukunaga
Int'l Symposium on Biomechanics in Sports (ISBS2001), Jun. 2001

Skill evaluation of rowers using fuzzy modeling
Kanta Tachibana; Takeshi Furuhashi; Manabu Shimoda; Yasuo Kawakami; and Tetsuo Fukunaga
Int'l Symposium on Biomechanics in Sports (ISBS 2000), Jun. 2000

An application of fuzzy modeling to rowing motion analysis
Kanta Tachibana; Takeshi Furuhashi; Manabu Shimoda; Yasuo Kawakami; and Tetsuo Fukunaga
IEEE System, Man and Cybernetics (SMC1999), Oct. 1999

A study on automatic allocation of membership functions for fuzzy modeling
Noriyuki Sakoh; Takeshi Furuhashi; Kanta Tachibana; Yoshiki Uchikawa; Youko Fujime; and Masashi Yamaguchi
IEEE Systems, Man, and Cybernetics (SMC1999), Oct. 1999

A study on input space division methods of submodels for hierarchical fuzzy modeling
Kanta Tachibana and Takeshi Furuhashi
World Conf. of Int'l Fuzzy System Association, Aug. 1999

Generality and conciseness of submodels in hierarchical fuzzy modeling
Kanta Tachibana and Takeshi Furuhashi
Asia-Pacific Conf. on Simulated Evolution and Learning (SEAL 98), Oct. 1998

A proposal of uneven division of input space for hierarchical fuzzy modeling
Kanta Tachibana and Takeshi Furuhashi
Int'l Conf. on Soft Computing (IIZUKA 98), Oct. 1998

Uneven allocation of membership functions for hierarchical fuzzy modeling using genetic algorithm
Kanta Tachibana and Takeshi Furuhashi
Int'l Conf. on Evolutional Computation (ICEC 98), May 1998

A hierarchical fuzzy modeling method using genetic algorithm for identification of concise submodel
Kanta Tachibana and Takeshi Furuhashi
Int'l Conf. on Knowledge-based Intelligent Electronic Systems (KES 98), Apr. 1998

An Attempt to Learn State Transitions Not Satisfying Markov Property Using Reservoir Computing
* R. Kadono and K. Tachibana (Kogakuin University)
09 Dec. 2022

Obstacle detection using a web camera and a 9-axis sensor on a moving ship
*Y. Osaki and K. Tachibana (Kogakuin University)
09 Dec. 2022

An attempt to estimate relative motion by correcting LiDAR range data with a 9-axis sensor
* J. Kamamoto and K. Tachibana (Kogakuin University)
09 Dec. 2022

An attempt to speed-up calculation of particle filter by resampling particles for each processer
* H. Kadoya and K. Tachibana (Kogakuin University)
09 Dec. 2022

An attempt to implement particle filter estimating attitude and its time change with state variables represented by quaternions
* Y. Saito and K. Tachibana (Kogakuin University )
09 Dec. 2022

看護学生と一般学生の仰臥位水平移動動作比較
20 Nov. 2022

動画像からの歩容による個人認証の試み
20 Nov. 2022

Development of Interface for Visualizing the Center of Gravity of Caregiver’s Body Segment.
Nihira TAIGA(Kogakuin University); Kanta TACHIBANA; Yukie ABE; Ayako ITO; Ai KAWABATA
International Society of Affective Science and Engineering (ISASE), The 8th International Symposium on Affective Science and Engineering, March 27th , 2022, online symposium., 27 Mar. 2022

Attitude Estimation of an Autonomous Sailing Vehicle with a Particle Filter that Expresses State Variable in Quaternion
Nakano Hiroaki; Tachibana Kanta
"Dynamical Systems' State Estimation with Learning from Data and its Applications" (DS2ELDiA) 2022, 14 Mar. 2022

Computational Cost and Performance of Position Velocity Estimation with Particle Filter
Nozawa Ryosuke; Tachibana Kanta
"Dynamical Systems' State Estimation with Learning from Data and its Applications" (DS2ELDiA) 2022, 14 Mar. 2022

Stage-wise Learning of Deep Q-Network for Sailing Upwind
Suizu Takuya; Tachibana Kanta
07 Mar. 2022, [Invited]

Parallel fuzzy reasoning of sail and rudder
Taichi Matsubara and Kanta Tachibana
25 Mar. 2021

Obstacle avoidance experiments of autonomous sailing robot using fuzzy reasoning
Ryosuke Fukuba and Kanta Tachibana
25 Mar. 2021

Acquisition of autonomous sailboat behaviors by deep reinforcement learning
Ryo Kawamura and Kanta Tachibana
25 Mar. 2021

Data assimilation of sailboat roll angle
Asuka Morimoto and Kanta Tachibana
25 Mar. 2021

Reinforcement learning for autonomous sailing
SHUTO FUJIWARA・KANTA TACHIBANA
20 Mar. 2020

Autonomous sailing by Neuro-Evolution
SACHIKO MATSUMOTO・KANTA TACHIBANA
20 Mar. 2020

Actual Experiment of Robotic Sailing Boat with Fuzzy Rules
31 Aug. 2019

Position and Attitude Estimation Using Particle Filter with Quaternion as State Variable
Tatsuya Shibata; Kanta Tachibana
15 Mar. 2019

Development of fuzzy control law of sailing boat,with position information and heeling
Kyohei Shimizu; Kanta Tachibana
15 Mar. 2019

Implementation of Fuzzy Control for Sailing with only Positional Information and Verification in Actual Machine
Tomoyuki Ujiie; Kanta Tachibana
15 Mar. 2019

How human feel the melodies generated with deep convolutional generative adversarial networks
Yuta Takagi and Kanta Tachibana
23 Dec. 2018

Actual Machine Experiments of Autonomous Sailing Boat Enabling Reaching Upwind Destination
Kanta Tachibana; Keiichiro Abe
03 Sep. 2018

動きの様相から先を読むベンチャー研究会のご紹介と、ロボよットについて
25 Apr. 2018

ユーザの感性に合わせた3D人体モーション生成システムの開発
16 Mar. 2018

風向予測を取り入れた帆走の合議強化学習
16 Mar. 2018

目的地到達に特化した自律帆船の実機実装
16 Mar. 2018

ファイブドローポーカーにおいて動的に技能を調整するシステム
16 Mar. 2018

複素ニューラルネットワークにおけるReLU関数の風予測性能
16 Mar. 2018

文章に適した挿入画像の検索クエリ評価手法
16 Mar. 2018

車内カメラ映像から複数物体の状態を推定するパーティクルフィルタの検討
Tetsushi Minami and Kanta Tachibana
パーティクルフィルタ研究会研究集会, 01 Mar. 2018

ディープラーニングの向こうへ～動きを捉え先を読む計算知能～
Kanta Tachibana
計測展2017 SICEミニレクチャー, 29 Nov. 2017

動きの様相から先を読むチュートリアル
13 Sep. 2017

Decision Making of Sailing using Limited Pieces of Wind Prediction
Kanta Tachibana and Tomohiro Tamura
13 Sep. 2017

PHDフィルタによる路線バス車内人数の推定
01 Aug. 2017

Future of Geometric Algebra
Kanta Tachibana
ENGAGE Workshop, Computer Graphics International 2017, 28 Jun. 2017, ENEGAGE Workshop, Computer Graphics International 2017

動きの様相から先を読む知能システムに向けて
10 Apr. 2017

自律帆船の衝突回避の強化学習における合議アルゴリズムの効果
17 Mar. 2017

位置情報のみを用いた自律帆船の実機実装
17 Mar. 2017

風の不確実性を考慮した帆船経路探索法の提案
17 Mar. 2017

ランダムフォレストによるヨットの操縦の行動決定
17 Mar. 2017

現実のラジコンカーの力学特性を視点移動に取り入れた VR の実現
17 Mar. 2017

空中移動カメラを用いた平面移動する対象物の測位の誤差
17 Mar. 2017

Ensemble Reinforcement Learning by Diverse Agents and its Application to Autonomous Sailing
Kanta Tachibana and Ryuta Fukazawa
10th SICE Symposium on Computational Intelligence, 17 Dec. 2016

Bus Timetable Generation by Genetic Algorithm Considering Uncertain Costs
Masashi Numata and Kanta Tachibana
10th SICE Symposium on Computational Intelligence, 17 Dec. 2016

Bayesian Estimation of Bus Operation Stability
Tetsushi Minami and Kanta Tachibana
10th SICE Symposium on Computational Intelligence, 16 Dec. 2016

六芸の御による情動学習のモデルとデータ同化について
23 Nov. 2016

遺伝的アルゴリズムによる帆船航路探索
19 Mar. 2016

サポートベクトル回帰によるドラム演奏動作からの音の予測
19 Mar. 2016

グリーンの定理による全球表面風の特徴抽出
19 Mar. 2016

大規模Webセッション分析に向けた分割クラスタリングの性能評価
15 Mar. 2016

連続状態空間の強化学習問題に対する合議アルゴリズムの効果
15 Mar. 2016

自律帆走に向けた粒子フィルタによる帆船状態推定
08 Mar. 2016

自動帆走におけるパーティクルフィルタの有効性の検討
09 Jan. 2016

AI帆走のためのパーティクルフィルタによるノイズ除去
19 Dec. 2015

AI帆走に必要なセンサー性能の検証
20 Nov. 2015

強化学習による自動帆走の状態空間の検討
29 May 2015

Possible usages of geometric algebra in robotic sailing
Kanta Tachibana
Asian Workshop on Clifford's Geometric Algebra and Information Technology, 27 Mar. 2015

Unmanned Sailing as Computational Affective Science - A Consideration on Representations of State Vector Space -
Hideaki Manabe; Kanta Tachibana
International Symposium on Affective Science and Engineering 2015, 23 Mar. 2015, International Society of Affective Science and Engineering

自律ヨットの針路決定に向けた状態パターンの認識
06 Mar. 2015

ボイス・バロットの法則の定量的な評価‐東京の風環境と気圧の傾きベクトル
06 Mar. 2015

高さを考慮した雲の分類と高さ推定の精度検証
06 Mar. 2015

剣道の素振りにおける肘に注目した動作解析
06 Mar. 2015

テンポの変化するBGMと行動の無意識的な同期
06 Mar. 2015

帆走の強化学習において人間の操作ログを行動選択に用いる効果
09 Dec. 2014

Acquisition of cooperative behavior among heterogeneous agents
Wataru Sato and Kanta Tachibana
SICE Symposium on Systems and Information 2014, 22 Nov. 2014

CGA clustering based vector quantization approach for human activity recognition using discrete hidden Markov model
Nguyen Nang Hung Van; Pham Minh Tuan and Tachibana Kanta
The 13th Int'l Symposium on Advanced Technology (ISAT13), 14 Nov. 2014

Reinforcement Learning of Simplified Unmanned Sailing
Hideaki Manabe and Kanta Tachibana
25 Sep. 2014

Reinforcement learning using probability distribution to state values
Wataru Sato and Kanta Tachibana
01 Sep. 2014

Unsolved issues of unmanned sailing from the view point of computational intelligence
Hideaki Manabe and Kanta Tachibana
02 Jul. 2014

Geometric Learning ～セーリング戦略の強化学習
Kanta Tachibana
パーティクルフィルタ研究会月例行事第100回記念「パーティクルフィルタに基づくマルチメディア計算知能」, 29 Mar. 2014

Influence of package design to degree of attention
Yuya Yamamoto and Kanta Tachibana
08 Mar. 2014

Synchronization of actions with back ground music which changes tempo
Hirokazu Kirihara and Kanta Tachibana
08 Mar. 2014

Influence of sound source based on personal tempo to physical exercise
Genta Yoshida and Kanta Tachibana
08 Mar. 2014

Reinforcement Learning in a fluctuating environment
Wataru Sato and Kanta Tachibana
08 Mar. 2014

Effect of active rest by eye movement on work achievement
Kizuku Kurokawa and Kanta Tachibana
08 Mar. 2014

Influence of baseball team's lineup to score distribution - Can weaker team win if batting order is optimized?
Hiroyuki Ishiguro and Kanta Tachibana
08 Mar. 2014

Effectiveness of strategy change in iterated prisoner's dilemma
Yuki Azumai and Kanta Tachibana
08 Mar. 2014

Effects of consciousness of achievement difficulties on mental fatigue during exercise
Yuki Shimoyama and Kanta Tachibana
08 Mar. 2014

Algorithm for fuzzy clustering based on conformal geometric algebra
Pham Minh Tuan and Kanta Tachibana
03 Feb. 2014

Reinforcement learning simulation of sailing strategy
Kanta Tachibana
02 Nov. 2013

A consideration of unmanned sailing by reinforcement learning with particle filter
Kanta Tachibana
09 Sep. 2013

耳の閉塞と音声加工が音声模倣へ与える影響―骨導音と気導音の知覚―
15 Mar. 2013

匿名状況における協調行動
15 Mar. 2013

ジェスチャ早期認識のためのBoosting学習法－役者の動作に合わせた効果音自動発生システム－
15 Mar. 2013

ユニフォーム色が卓球の試合結果へ与える影響
15 Mar. 2013

履歴データを用いた運動意欲を高める目標仕事率の区間推定
15 Mar. 2013

文字による先入観が音楽の印象へ与える影響
15 Mar. 2013

An application of Clifford algebra valued graph
10 Dec. 2012

Bayesian Inference Based on Static and Dynamic Relationships Applied to Classification of Twitter Users
Kanta Tachibana and Wataru Sato
The 11th Int'l Symposium on Advanced Technology (ISAT-Special), 30 Oct. 2012

A discussion on feature extraction of human motion
Kanta Tachibana
28 Sep. 2012

Bayesian classification of twitter user into list based on follow relationship and tweets
Wataru Sato and Kanta Tachibana
16 Mar. 2012

Estimation of how richly an emotion is expressed by a speech toward training system of voice actors
Takahiro Nakamaru; Yoshihiro Nihei and Kanta Tachibana
16 Mar. 2012

感情音声の感じ方の違いを考慮した感情推定
19 Dec. 2011

Conformal Geometric Algebraを用いた近似方法の提案とその応用
30 Sep. 2011

Conformal Geometric Algebraを用いた物体の関節位置分布の推定
13 Sep. 2011

感情音声の感じ方の類似度を考慮した感情推定
04 Sep. 2011

感情音声をどう感じるかのばらつきを考慮した確率的感情推定
04 Mar. 2011

Geometric algebraとニューラルネットワークについての一考察
26 Sep. 2010

空間折り畳みモデルを用いた特徴抽出とニューラルネットワークへの適用
26 Sep. 2010

A Note on Geometric Algebra and Neural Networks
Kanta Tachibana; Minh Tuan Pham; Tomohiro Yoshikawa and Takeshi Furuhashi
Computer Graphics, Vision and Mathematics 2010, 08 Sep. 2010

Geometric Algebra Neural Networks
Kanta Tachibana and Eckhard Hitzer
Computer Graphics, Vision and Mathematics 2010, 08 Sep. 2010

クリフォード代数の逐次ベイズ推定とその物体追跡への応用
11 Sep. 2009

Motion tracking with geometric algebra-valued particle filter.
Kanta Tachibana
Computer Graphics, Vision and Mathematics 2009, 02 Sep. 2009

情報デザインのための三次元時系列データ可視化
22 Jul. 2009

クリフォード代数を用いた幾何データの類似関係可視化
2007 - Present

Sep. 2016

Aug. 2012
Journal of Advanced Computational Intelligence and Intelligent Informatics Best Paper Award 2012

Sep. 2009
1st International Workshop on Aware Computing Best Paper Awards

Jul. 2001
Young Investigator Award. International Society of Biomechanics, Technical Group on Computer Simulation

Apr. 2018 - Mar. 2023
Prediction from motion by machine learning using geometric algebra
Grant-in-Aid for Scientific Research (C), Kogakuin University