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Masatoshi Sekine
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Journal Articles
- 2015
- [j8]Jiang Li, Yusuke Atsumari, Hiromasa Kubo, Yuichi Ogishima, Satoru Yokota, Hakaru Tamukoh, Masatoshi Sekine:
A Multidimensional Configurable Processor Array - Vocalise. IEICE Trans. Inf. Syst. 98-D(2): 313-324 (2015) - 2012
- [j7]Masatoshi Sekine, Kurato Maeno:
Activity Recognition Using Radio Doppler Effect for Human Monitoring Service. Inf. Media Technol. 7(2): 783-792 (2012) - [j6]Masatoshi Sekine, Kurato Maeno:
Activity Recognition Using Radio Doppler Effect for Human Monitoring Service. J. Inf. Process. 20(2): 396-405 (2012) - 2011
- [j5]Hakaru Tamukoh, Keiichi Horio, Takeshi Yamakawa, Masatoshi Sekine:
Rough winner-take-all for hardware oriented vector quantization algorithm. IEICE Electron. Express 8(11): 773-779 (2011) - 2005
- [j4]Takashi Kanamaru, Masatoshi Sekine:
Detecting chaotic structures in noisy pulse trains based on interspike interval reconstruction. Biol. Cybern. 92(5): 333-338 (2005) - [j3]Takashi Kanamaru, Masatoshi Sekine:
Synchronized Firings in the Networks of Class 1 Excitable Neurons with Excitatory and Inhibitory Connections and Their Dependences on the Forms of Interactions. Neural Comput. 17(6): 1315-1338 (2005) - 2004
- [j2]Takashi Kanamaru, Masatoshi Sekine:
An analysis of globally connected active rotators with excitatory and inhibitory connections having different time constants using the nonlinear Fokker-Planck equations. IEEE Trans. Neural Networks 15(5): 1009-1017 (2004) - 2003
- [j1]Takashi Kanamaru, Masatoshi Sekine:
Array-Enhanced Coherence Resonance in the Diffusively Coupled Active Rotators and Its Analysis with the Nonlinear Fokker-Planck Equation. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 86-A(9): 2197-2202 (2003)
Conference and Workshop Papers
- 2023
- [c11]Masatoshi Sekine, Daisuke Shimbara, Tomoyuki Myojin, Eri Imatani:
Visualization Tool for Extraction of Various Attributes and Corresponding Data for Dataset Quality Assessment. AITest 2023: 61-65 - 2021
- [c10]Masatoshi Sekine, Satoshi Ikada:
Adaptive Cooperative Distributed Compressed Sensing for Edge Devices: A Multiagent Deep Reinforcement Learning Approach. PerCom Workshops 2021: 585-591 - 2019
- [c9]Masatoshi Sekine, Satoshi Ikada:
LACSLE: Lightweight and Adaptive Compressed Sensing Based on Deep Learning for Edge Devices. GLOBECOM 2019: 1-7 - 2013
- [c8]Hakaru Tamukoh, Masatoshi Sekine:
Design of networked hw/sw complex system using hardware object model and its application. IECON 2013: 2250-2255 - 2012
- [c7]Jiang Li, Kenichi Takahashi, Hakaru Tamukoh, Masatoshi Sekine:
2D/3D FPGA array for brain process and numerical computation. ICNC 2012: 16-19 - [c6]Hakaru Tamukoh, Nadav Bergstein, Kotoko Fujita, Masatoshi Sekine:
Live demonstration: "Internet Booster" a novel WEB application platform accelerated by reconfigurable virtual hardware circuits. ISCAS 2012: 716 - 2010
- [c5]Hakaru Tamukoh, Masatoshi Sekine:
A Dynamically Reconfigurable Platform for Self-Organizing Neural Network Hardware. ICONIP (2) 2010: 439-446 - 2008
- [c4]Masatoshi Sekine, Kaoru Sezaki:
Scalable Sensor Data Management under Frequent Content Changes in Peer-to-Peer Network. SAINT 2008: 133-136 - 2003
- [c3]Masatoshi Sekine, Takashi Kanamaru, Kenji Kudoh, Haruki Imanaka, Yusuke Shiga, Hikaru Ito, Yoshihiro Myokan:
Hardware objects of the circuits for robotics. CIRA 2003: 1421-1426 - 1996
- [c2]Jeffery P. Hansen, Masatoshi Sekine:
Synthesis by Spectral Translation Using Boolean Decision Diagrams. DAC 1996: 248-253 - 1995
- [c1]Atsushi Masuda, Hiroshi Imai, Jeffery P. Hansen, Masatoshi Sekine:
Search space reduction in high level synthesis by use of an initial circuit. ASP-DAC 1995
Coauthor Index
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