Tetsuo Furukawa

38 papers B 2Journal 15Unranked 20
YearRankTypeTitle / Venue / Authors
2025 J jnl
Heterogeneous co-occurrence embedding for visual information exploration.
CoRR
Takuro Ishida, Tetsuo Furukawa
2022 — conf
Low-rank kernel decomposition for scalable manifold modeling.
SCIS/ISIS
Kazuki Miyazaki, Shuhei Takano, Ryo Tsuno, Hideaki Ishibashi, Tetsuo Furukawa
2022 J jnl
Multi-task manifold learning for small sample size datasets.
Neurocomputing
Hideaki Ishibashi, Kazushi Higa, Tetsuo Furukawa
2022 J jnl
Visual analytics of set data for knowledge discovery and member selection support.
Decis. Support Syst.
Ryuji Watanabe, Hideaki Ishibashi, Tetsuo Furukawa
2021 J jnl
Multi-task manifold learning for small sample size datasets.
CoRR
Hideaki Ishibashi, Kazushi Higa, Tetsuo Furukawa
2021 J jnl
Visual analytics of set data for knowledge discovery and member selection support.
CoRR
Ryuji Watanabe, Hideaki Ishibashi, Tetsuo Furukawa
2020 — conf
Simultaneous Visualization of Documents, Words and Topics by Tensor Self-Organizing Map and Non-negative Matrix Factorization.
SCIS/ISIS
Kazuki Noguchi, Takuro Ishida, Tetsuo Furukawa
2018 J jnl
Hierarchical Tensor Manifold Modeling for Multi-Group Analysis.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Hideaki Ishibashi, Masayoshi Era, Tetsuo Furukawa
2018 J jnl
Hierarchical Tensor SOM Network for Multilevel-Multigroup Analysis.
Neural Process. Lett.
Hideaki Ishibashi, Tetsuo Furukawa
2018 — conf
Multi-task Manifold Learning Using Hierarchical Modeling for Insufficient Samples.
ICONIP (3)
Hideaki Ishibashi, Kazushi Higa, Tetsuo Furukawa
2018 — conf
Simultaneous Analysis of Subjective and Objective Data Using Coupled Tensor Self-organizing Maps: Wine Aroma Analysis with Sensory and Chemical Data.
ICONIP (6)
Keisuke Yoneda, Kimihiro Nakano, Keiichi Horio, Tetsuo Furukawa
2018 — conf
Tensor Self-Organizing Map for Kansei Analysis.
SCIS&ISIS
Kyouhei Itonaga, Kaori Yoshida, Tetsuo Furukawa
2016 — conf
Multilevel-Multigroup Analysis Using a Hierarchical Tensor SOM Network.
ICONIP (3)
Hideaki Ishibashi, Ryota Shinriki, Hirohisa Isogai, Tetsuo Furukawa
2016 — conf
Self-Organizing Maps for Multi-system and Multi-view Datasets.
SCIS&ISIS
Hideaki Ishibashi, Tetsuo Furukawa
2016 J jnl
Tensor SOM and tensor GTM: Nonlinear tensor analysis by topographic mappings.
Neural Networks
Tohru Iwasaki, Tetsuo Furukawa
2013 J jnl
Shape space estimation by higher-rank of SOM.
Neural Comput. Appl.
Sho Yakushiji, Tetsuo Furukawa
2012 — conf
Research on multi-system learning theory: A case study of Brain-Inspired System research.
SCIS&ISIS
Tetsuo Furukawa, Kiyohisa Natsume, Takashi Ohkubo
2012 J jnl
Self Evolving Modular Network.
IEICE Trans. Inf. Syst.
Kazuhiro Tokunaga, Nobuyuki Kawabata, Tetsuo Furukawa
2011 — conf
Requirements for the Learning of Multiple Dynamics.
WSOM
Takashi Ohkubo, Tetsuo Furukawa, Kazuhiro Tokunaga
2011 — conf
Shape Space Estimation by SOM2.
ICONIP (2)
Sho Yakushiji, Tetsuo Furukawa
2010 — ch.
An Adaptive Controller System Using mnSOM (2nd Report: Implementation into an Autonomous Underwater Robot).
Brain-Inspired Information Technology
Yasunori Takemura, Makoto Ishitsuka, Shuhei Nishida, Kazuo Ishii, Tetsuo Furukawa
2009 — conf
Line Image Classification by NG×SOM: Application to Handwritten Character Recognition.
WSOM
Makoto Otani, Kouichi Gunya, Tetsuo Furukawa
2009 J jnl
Modular network SOM.
Neural Networks
Kazuhiro Tokunaga, Tetsuo Furukawa
2009 J jnl
RBF×SOM: An Efficient Algorithm for Large-Scale Multi-System Learning.
IEICE Trans. Inf. Syst.
Takashi Ohkubo, Kazuhiro Tokunaga, Tetsuo Furukawa
2009 J jnl
SOM of SOMs.
Neural Networks
Tetsuo Furukawa
2008 J jnl
A class density approximation neural network for improving the generalization of Fisherface.
Neurocomputing
Jiayan Jiang, Liming Zhang, Tetsuo Furukawa
2007 — conf
Realized through a Marriage with Modular-Networks.
FOCI
Tetsuo Furukawa, Kazuhiro Tokunaga
2007 — conf
Task Segmentation in a Mobile Robot by mnSOM and Clustering with Spatio-temporal Contiguity.
ICONIP (2)
Muhammad Aziz Muslim, Masumi Ishikawa, Tetsuo Furukawa
2007 J jnl
Task segmentation in a mobile robot by mnSOM: a new approach to training expert modules.
Neural Comput. Appl.
Muhammad Aziz Muslim, Masumi Ishikawa, Tetsuo Furukawa
2006 B conf
A New Approach to Task Segmentation in Mobile Robots by mnSOM.
IJCNN
Muhammad Aziz Muslim, Masumi Ishikawa, Tetsuo Furukawa
2006 — conf
An Online Adaptation Control System Using mnSOM.
ICONIP (1)
Shuhei Nishida, Kazuo Ishii, Tetsuo Furukawa
2006 — conf
Generalization of the Self-Organizing Map: From Artificial Neural Networks to Artificial Cortexes.
ICONIP (1)
Tetsuo Furukawa, Kazuhiro Tokunaga
2006 — conf
Improving the Generalization of Fisherface by Training Class Selection Using SOM
ICONIP (2)
Jiayan Jiang, Liming Zhang, Tetsuo Furukawa
2006 — conf
Modular Network SOM: Theory, Algorithm and Applications.
ICONIP (1)
Kazuhiro Tokunaga, Tetsuo Furukawa
2006 — conf
SOM of SOMs: An Extension of SOM from 'Map' to 'Homotopy'.
ICONIP (1)
Tetsuo Furukawa
2005 B conf
Modular network SOM (mnSOM): from vector space to function space.
IJCNN
Tetsuo Furukawa, Kazuhiro Tokunaga, Kenji Morishita, Syozo Yasui
2005 — conf
SOM of SOMs: Self-organizing Map Which Maps a Group of Self-organizing Maps.
ICANN (1)
Tetsuo Furukawa
1995 — conf
Plasticity of Center-Surround Opponent Receptive Fields in Real and Artificial Neural Systems of Vision.
NIPS
Syozo Yasui, Tetsuo Furukawa, Masahiro Yamada, T. Saito