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Shiro Ikeda
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2020 – today
- 2023
- [j16]Shota Takahashi
, Mirai Tanaka
Blind deconvolution with non-smooth regularization via Bregman proximal DCAs. Signal Process. 202: 108734 (2023)
2010 – 2019
- 2018
- [i4]Masato Shirasaki, Naoki Yoshida, Shiro Ikeda:
Denoising Weak Lensing Mass Maps with Deep Learning. CoRR abs/1812.05781 (2018) - 2016
- [j15]Kazuho Watanabe
Rate-Distortion Functions for Gamma-Type Sources Under Absolute-Log Distortion Measure. IEEE Trans. Inf. Theory 62(10): 5496-5502 (2016) - [i3]João Pedro Pedroso
Maximum-expectation matching under recourse. CoRR abs/1605.08616 (2016) - 2015
- [j14]Kazuho Watanabe
Entropic risk minimization for nonparametric estimation of mixing distributions. Mach. Learn. 99(1): 119-136 (2015) - [c15]Yuka Ariki, Tetsunari Inamura, Shiro Ikeda
Sparsely extracting stored movements to construct interfaces for humanoid end-effector control. ROBIO 2015: 1816-1821 - 2014
- [c14]Shiro Ikeda, Kazunori Hayashi, Toshiyuki Tanaka:
Channel capacity and achievable rates of peak power limited AWGNC, and their applications to adaptive modulation and coding. ISITA 2014: 590-594 - 2013
- [j13]Jonathan H. Manton
Introduction to the issue on differential geometry in signal processing. IEEE J. Sel. Top. Signal Process. 7(4): 573-575 (2013) - [c13]Shiro Ikeda
Compton camera imaging. ICST 2013: 674-677 - [c12]Kazuho Watanabe
Rate-distortion function for gamma sources under absolute-log distortion measure. ISIT 2013: 2557-2561 - 2012
- [j12]Bart Baesens, Pantelis Bouboulis, Sergio Cruces, Carlotta Domeniconi, Shiro Ikeda
Neural Networks and Learning Systems Come Together. IEEE Trans. Neural Networks Learn. Syst. 23(1): 1-6 (2012) - 2011
- [j11]Mark D. McDonnell
An introductory review of information theory in the context of computational neuroscience. Biol. Cybern. 105(1): 55-70 (2011) - [i2]Mark D. McDonnell, Shiro Ikeda, Jonathan H. Manton:
An Introductory Review of Information Theory in the Context of Computational Neuroscience. CoRR abs/1107.2984 (2011) - 2010
- [i1]Shiro Ikeda, Kazunori Hayashi, Toshiyuki Tanaka:
Capacity and Modulations with Peak Power Constraint. CoRR abs/1005.3889 (2010)
2000 – 2009
- 2009
- [j10]Shiro Ikeda
Capacity of a Single Spiking Neuron Channel. Neural Comput. 21(6): 1714-1748 (2009) - [c11]Shiro Ikeda
Motor planning as an optimization of command representation. CDC 2009: 4499-4504 - [c10]Shiro Ikeda
Spiking neuron channel. ISIT 2009: 1589-1593 - 2008
- [j9]Masatoshi Hamada, Shiro Ikeda
Channel Estimation and Code Word Inference for Mobile Digital Satellite Broadcasting Reception. IEICE Trans. Commun. 91-B(12): 3886-3898 (2008) - 2007
- [j8]Yutaka Sakaguchi
Motor planning and sparse motor command representation. Neurocomputing 70(10-12): 1748-1752 (2007) - [c9]Masatoshi Hamada, Shiro Ikeda
Improving Mobile Reception of Digital Satellite Broadcasting. PIMRC 2007: 1-5 - 2005
- [j7]Shiro Ikeda
Information geometry for turbo decoding. Syst. Comput. Jpn. 36(1): 79-87 (2005) - [c8]Shiro Ikeda
Information geometry of turbo and LDPC codes. ICASSP (5) 2005: 1029-1032 - 2004
- [j6]Shiro Ikeda
Stochastic Reasoning, Free Energy, and Information Geometry. Neural Comput. 16(9): 1779-1810 (2004) - [j5]Shiro Ikeda
Information Geometry of Turbo and Low-Density Parity-Check Codes. IEEE Trans. Inf. Theory 50(6): 1097-1114 (2004) - 2003
- [j4]Futoshi Asano, Shiro Ikeda
Combined approach of array processing and independent component analysis for blind separation of acoustic signals. IEEE Trans. Speech Audio Process. 11(3): 204-215 (2003) - 2001
- [j3]Noboru Murata
An approach to blind source separation based on temporal structure of speech signals. Neurocomputing 41(1-4): 1-24 (2001) - [c7]Futoshi Asano, Shiro Ikeda
A combined approach of array processing and independent component analysis for blind separation of acoustic signals. ICASSP 2001: 2729-2732 - [c6]Shiro Ikeda, Toshiyuki Tanaka, Shun-ichi Amari:
Information Geometrical Framework for Analyzing Belief Propagation Decoder. NIPS 2001: 407-414 - [c5]Toshiyuki Tanaka, Shiro Ikeda, Shun-ichi Amari:
Information-Geometrical Significance of Sparsity in Gallager Codes. NIPS 2001: 527-534 - 2000
- [j2]Shiro Ikeda
Independent component analysis for noisy data -- MEG data analysis. Neural Networks 13(10): 1063-1074 (2000) - [j1]Shiro Ikeda
Acceleration of the EM algorithm. Syst. Comput. Jpn. 31(2): 10-18 (2000) - [c4]Shiro Ikeda
ICA for Noisy Neurobiological Data. IJCNN (4) 2000: 89-96
1990 – 1999
- 1998
- [c3]Shiro Ikeda, Noburo Murata:
A Method of Blind Separation Based on Temporal Structure of Signals. ICONIP 1998: 737-742 - [c2]Shiro Ikeda, Shun-ichi Amari, Hiroyuki Nakahara:
Convergence of the Wake-Sleep Algorithm. NIPS 1998: 239-245 - 1995
- [c1]Shiro Ikeda
Estimate the source structure through communication. ICNN 1995: 2799-2802
Coauthor Index
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