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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 6 of 6  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
RISING
(3rd)		 2021-11-17
11:00		 Tokyo
(Primary: On-site, Secondary: Online)		 An Overloaded IoT Signal Detection Method Using Piecewise Continuous Nonconvex Sparse Regularizer
Atsuya Hirayama (Osaka City Univ.), Kazunori Hayashi (Kyoto Univ.) 		In this talk, we consider the signal detection problem of overloaded massive multi-user multi-input multi-output (MU-MIM... [more]
IBISML 2020-03-10
13:50		 Kyoto Kyoto University
(Cancelled but technical report was issued)
() IBISML2019-35		 (To be available after the conference date) [more] IBISML2019-35
pp.17-24
PRMU, MI, IE, SIP 2018-05-17
15:15		 Gifu   On OCT Volumetric Data Restoration via Hierarchical Sparsity and Hard Constraint
Shogo Muramatsu, Satoshi Nagayama, Samuel Choi (Niigata Univ.), Shunsuke Ono (Tokyo Institute of Tech.), Takeru Ota, Fumiaki Nin, Hiroshi Hibino (Niigata Univ.) SIP2018-3 IE2018-3 PRMU2018-3 MI2018-3		 This work proposes a novel restoration method for optical coherence tomography (OCT) data. OCT is a measurement techniqu... [more] SIP2018-3 IE2018-3 PRMU2018-3 MI2018-3
pp.7-12
IBISML 2016-11-16
15:00		 Kyoto Kyoto Univ. Proximal Average Accelerated Proximal Gradient Algorithm with Adaptive Restart
Yoshihiro Nakazato, Kazuto Fukuchi, Jun Sakuma (Univ. Tsukuba) IBISML2016-55		 When using multiple regularizers, their proximal mapping is not easily available in closed form.
The method to calculat... [more]		 IBISML2016-55
pp.65-71
IBISML 2016-11-16
15:00		 Kyoto Kyoto Univ. Additive Model Decomposition with Global Sparse Structure for Multi-task Granger Causal Estimation
Hitoshi Abe, Jun Sakuma (Univ. Tsukuba) IBISML2016-56		 Causality estimation is one of the key issues in time-series data analysis.
Granger causality is widely known as a form... [more]		 IBISML2016-56
pp.73-79
IE, MVE 2012-03-13
12:10		 Toyama Toyama University Show-Through Cancellation using Sparse Regularization and GPU Acceleration
Yoshimi Noguchi, Akihiro Takagi, Heitoh Zen (Chiba Univ.), Tomoya Sakai (Nagasaki Univ.) IE2011-160 MVE2011-122		 This paper presents a sparse representation-based show-through cancellation technique, and reports massive speedups achi... [more] IE2011-160 MVE2011-122
pp.157-162
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