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ORCIDTetsuo Furukawa
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2020 – today
- 2022
[j12]Ryuji Watanabe, Hideaki Ishibashi
, Tetsuo Furukawa:
Visual analytics of set data for knowledge discovery and member selection support. Decis. Support Syst. 152: 113635 (2022)- [j11]Hideaki Ishibashi, Kazushi Higa, Tetsuo Furukawa:
Multi-task manifold learning for small sample size datasets. Neurocomputing 473: 138-157 (2022) - [c20]Kazuki Miyazaki, Shuhei Takano, Ryo Tsuno, Hideaki Ishibashi, Tetsuo Furukawa:
Low-rank kernel decomposition for scalable manifold modeling. SCIS/ISIS 2022: 1-6 - 2021
- [i2]Ryuji Watanabe, Hideaki Ishibashi, Tetsuo Furukawa:
Visual analytics of set data for knowledge discovery and member selection support. CoRR abs/2104.09231 (2021) - [i1]Hideaki Ishibashi, Kazushi Higa, Tetsuo Furukawa:
Multi-task manifold learning for small sample size datasets. CoRR abs/2111.11655 (2021) - 2020
- [c19]Kazuki Noguchi, Takuro Ishida, Tetsuo Furukawa:
Simultaneous Visualization of Documents, Words and Topics by Tensor Self-Organizing Map and Non-negative Matrix Factorization. SCIS/ISIS 2020: 1-4
2010 – 2019
- 2018
- [j10]Hideaki Ishibashi, Masayoshi Era, Tetsuo Furukawa:
Hierarchical Tensor Manifold Modeling for Multi-Group Analysis. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 101-A(11): 1745-1755 (2018) - [j9]Hideaki Ishibashi, Tetsuo Furukawa:
Hierarchical Tensor SOM Network for Multilevel-Multigroup Analysis. Neural Process. Lett. 47(3): 1011-1025 (2018) - [c18]Keisuke Yoneda, Kimihiro Nakano, Keiichi Horio, Tetsuo Furukawa:
Simultaneous Analysis of Subjective and Objective Data Using Coupled Tensor Self-organizing Maps: Wine Aroma Analysis with Sensory and Chemical Data. ICONIP (6) 2018: 24-35 - [c17]Hideaki Ishibashi, Kazushi Higa, Tetsuo Furukawa:
Multi-task Manifold Learning Using Hierarchical Modeling for Insufficient Samples. ICONIP (3) 2018: 388-398 - [c16]Kyouhei Itonaga, Kaori Yoshida, Tetsuo Furukawa:
Tensor Self-Organizing Map for Kansei Analysis. SCIS&ISIS 2018: 796-801 - 2016
- [j8]Tohru Iwasaki, Tetsuo Furukawa:
Tensor SOM and tensor GTM: Nonlinear tensor analysis by topographic mappings. Neural Networks 77: 107-125 (2016) - [c15]Hideaki Ishibashi, Ryota Shinriki, Hirohisa Isogai, Tetsuo Furukawa:
Multilevel-Multigroup Analysis Using a Hierarchical Tensor SOM Network. ICONIP (3) 2016: 459-466 - [c14]Hideaki Ishibashi, Tetsuo Furukawa:
Self-Organizing Maps for Multi-system and Multi-view Datasets. SCIS&ISIS 2016: 343-348 - 2013
- [j7]Sho Yakushiji, Tetsuo Furukawa:
Shape space estimation by higher-rank of SOM. Neural Comput. Appl. 22(7-8): 1267-1277 (2013) - 2012
- [j6]Kazuhiro Tokunaga, Nobuyuki Kawabata, Tetsuo Furukawa:
Self Evolving Modular Network. IEICE Trans. Inf. Syst. 95-D(5): 1506-1518 (2012) - [c13]Tetsuo Furukawa, Kiyohisa Natsume, Takashi Ohkubo:
Research on multi-system learning theory: A case study of Brain-Inspired System research. SCIS&ISIS 2012: 311-314 - 2011
- [c12]Sho Yakushiji, Tetsuo Furukawa:
Shape Space Estimation by SOM2. ICONIP (2) 2011: 618-627 - [c11]Takashi Ohkubo, Tetsuo Furukawa, Kazuhiro Tokunaga:
Requirements for the Learning of Multiple Dynamics. WSOM 2011: 101-110 - 2010
- [p1]Yasunori Takemura, Makoto Ishitsuka, Shuhei Nishida, Kazuo Ishii, Tetsuo Furukawa:
An Adaptive Controller System Using mnSOM (2nd Report: Implementation into an Autonomous Underwater Robot). Brain-Inspired Information Technology 2010: 91-96
2000 – 2009
- 2009
- [j5]Takashi Ohkubo, Kazuhiro Tokunaga, Tetsuo Furukawa:
RBF×SOM: An Efficient Algorithm for Large-Scale Multi-System Learning. IEICE Trans. Inf. Syst. 92-D(7): 1388-1396 (2009) - [j4]Kazuhiro Tokunaga, Tetsuo Furukawa:
Modular network SOM. Neural Networks 22(1): 82-90 (2009) - [j3]Tetsuo Furukawa:
SOM of SOMs. Neural Networks 22(4): 463-478 (2009) - [c10]Makoto Otani, Kouichi Gunya, Tetsuo Furukawa:
Line Image Classification by NG×SOM: Application to Handwritten Character Recognition. WSOM 2009: 219-227 - 2008
- [j2]Jiayan Jiang, Liming Zhang, Tetsuo Furukawa:
A class density approximation neural network for improving the generalization of Fisherface. Neurocomputing 71(16-18): 3239-3246 (2008) - 2007
- [j1]Muhammad Aziz Muslim, Masumi Ishikawa, Tetsuo Furukawa:
Task segmentation in a mobile robot by mnSOM: a new approach to training expert modules. Neural Comput. Appl. 16(6): 571-580 (2007) - [c9]Tetsuo Furukawa, Kazuhiro Tokunaga:
Realized through a Marriage with Modular-Networks. FOCI 2007: 637-644 - [c8]Muhammad Aziz Muslim, Masumi Ishikawa, Tetsuo Furukawa:
Task Segmentation in a Mobile Robot by mnSOM and Clustering with Spatio-temporal Contiguity. ICONIP (2) 2007: 1075-1084 - 2006
- [c7]Jiayan Jiang, Liming Zhang, Tetsuo Furukawa:
Improving the Generalization of Fisherface by Training Class Selection Using SOM2. ICONIP (2) 2006: 278-285 - [c6]Shuhei Nishida, Kazuo Ishii, Tetsuo Furukawa:
An Online Adaptation Control System Using mnSOM. ICONIP (1) 2006: 935-942 - [c5]Tetsuo Furukawa, Kazuhiro Tokunaga:
Generalization of the Self-Organizing Map: From Artificial Neural Networks to Artificial Cortexes. ICONIP (1) 2006: 943-949 - [c4]Tetsuo Furukawa:
SOM of SOMs: An Extension of SOM from 'Map' to 'Homotopy'. ICONIP (1) 2006: 950-957 - [c3]Kazuhiro Tokunaga, Tetsuo Furukawa:
Modular Network SOM: Theory, Algorithm and Applications. ICONIP (1) 2006: 958-967 - [c2]Muhammad Aziz Muslim, Masumi Ishikawa, Tetsuo Furukawa:
A New Approach to Task Segmentation in Mobile Robots by mnSOM. IJCNN 2006: 3510-3517 - 2005
- [c1]Tetsuo Furukawa:
SOM of SOMs: Self-organizing Map Which Maps a Group of Self-organizing Maps. ICANN (1) 2005: 391-396
Coauthor Index
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