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- Kanta Tachibana, Kazuya Yashiro, Jun Miyazaki, Yasuo Ikegami, Mitsuru Higuchi
- Sports biomechanics
- 2007

Although it is clear that rowers have a large muscle mass, their distribution of muscle mass and which of the main motions in rowing mediates muscle hypertrophy in each body part are unclear. We examine the relationships between partial motion power in rowing and muscle cross-sectional area of the thigh, lower back, and upper arms. Sixty young rowers (39… (More)

- Kanta Tachibana, Takeshi Furuhashi
- Int. J. Intell. Syst.
- 2002

Fuzzy models describe nonlinear input-output relationships with linguistic fuzzy rules. A hierarchical fuzzy modeling is promising for identification of fuzzy models of target systems that have many input variables. In the identification, (1) determination of a hierarchical structure of submodels, (2) selection of input variables of each submodel, (3)… (More)

- Minh Tuan Pham, Kanta Tachibana, Eckhard M. S. Hitzer, Tomohiro Yoshikawa, Takeshi Furuhashi
- Geometric Algebra Computing
- 2010

- Sven Buchholz, Kanta Tachibana, Eckhard M. S. Hitzer
- ICANN
- 2007

Neural computation in Clifford algebras, which include familiar complex numbers and quaternions as special cases, has recently become an active research field. As always, neurons are the atoms of computation. The paper provides a general notion for the Hessian matrix of Clifford neurons of an arbitrary algebra. This new result on the dynamics of Clifford… (More)

We study the optimization of neural networks with Clifford geometric algebra versor and spinor nodes. For that purpose important multivector calculus results are introduced. Such nodes are generalizations of real, complex and quaternion spinor nodes. In particular we consider nodes that can learn all proper and improper Euclidean transformations with… (More)

- Minh Tuan Pham, Kanta Tachibana, Eckhard M. S. Hitzer, Sven Buchholz, Tomohiro Yoshikawa, Takeshi Furuhashi
- 2008 IEEE International Joint Conference on…
- 2008

Most conventional methods of feature extraction do not pay much attention to the geometric properties of data, even in cases where the data have spatial features. In this study we introduce geometric algebra to undertake various kinds of feature extraction from spatial data. Geometric algebra is a generalization of complex numbers and of quaternions, and it… (More)

- Minh Tuan Pham, Kanta Tachibana, Tomohiro Yoshikawa, Takeshi Furuhashi
- FUZZ-IEEE
- 2011

Clustering is one of the most useful methods for understanding similarity among data. However, most conventional clustering methods do not pay sufficient attention to the geometric properties of data. Geometric algebra (GA) is a generalization of complex numbers and quaternions able to describe spatial objects and the relations between them. This paper uses… (More)

- Minh Tuan Pham, Tomohiro Yoshikawa, Takeshi Furuhashi, Kanta Tachibana
- JACIII
- 2011

- Kanta Tachibana, Norihiko Sugimoto, Hideo Shiogama, Toru Nozawa
- JACIII
- 2009

- Minh Tuan Pham, Kanta Tachibana
- KSE
- 2013