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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-23 12:10 |
Online | Online | Deep learning of mixture of continuous and categorical data with regularizers added to the cost function and evaluation of the effectiveness of sparse modeling Masumi Ishikawa (Kyutech)  NC2021-45 |
Deep learning has a serious drawback in that the resulting models tend to be a black box, hence hard to understand. A sp... [more] | NC2021-45 pp.65-70 |
| 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] | |
| SIP | 2021-08-23 14:00 |
Online | Online | [Invited Talk]
Block-Sparse Estimation using Optimal Block Structure Hiroki Kuroda (Ritsumeikan Univ.) SIP2021-29 |
This talk presents a convex optimization based block-sparse estimation method which is effective even when concrete bloc... [more] | SIP2021-29 p.11 |
| SP, IPSJ-SLP, IPSJ-MUS | 2021-06-18 13:00 |
Online | Online | F0 estimation of speech based on l2-norm regularized TV-CAR analysis Keiichi Funaki (Univ. of the Ryukyus) SP2021-2 |
Linear Prediction (LP) is the most successful speech analysis in speech processing, including speech coding implemented ... [more] |
SP2021-2 pp.7-12 |
| IE, SIP, BioX, ITE-IST, ITE-ME [detail] | 2021-06-03 17:00 |
Online | Online | Quadratic Surface Clustering Based on Hyperslab Projection and Its Application to Color Artifact Removal Tatsuya Ohtsubo, Seisuke Kyochi (The Univ. of Kitakyushu) SIP2021-5 BioX2021-5 IE2021-5 |
Color artifact removal based on local color nuclear norm (LCNN) has been proposed conventionally. LCNN relies on the fac... [more] | SIP2021-5 BioX2021-5 IE2021-5 pp.21-26 |
| SIS, ITE-BCT | 2020-10-01 13:40 |
Online | Online | Image Regularization with Morphological Gradient Priors Using Optimization of Multiple Structuring Elements for Each Pixel Hirotaka Oka, Mistuji Muneyasu, Soh Yoshida (Kansai Univ.), Makoto Nakashizuka (CIT) SIS2020-15 |
In image regularization, a method for restoring an image has been proposed in which a morphological gradient is used as ... [more] | SIS2020-15 pp.29-34 |
| SIP | 2020-08-28 13:30 |
Online | Online | [Invited Talk]
Image smoothing based on L0 gradient regularization and its applications Ryo Matsuoka (Univ. of Kitakyushu) SIP2020-37 |
This talk outlines research on image processing based on L0 gradient regularization that promotes sparseness in the grad... [more] | SIP2020-37 p.33 |
| 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 |
| NC, MBE (Joint) |
2020-03-06 16:10 |
Tokyo | University of Electro Communications (Cancelled but technical report was issued) |
Sparse modeling of deep classification networks with layer-wise greedy learning and various regularization terms Masumi Ishikawa (Kyutech) NC2019-116 |
Training of deep networks is difficult due to vanishing gradients. To overcome this difficulty, layer-wise greedy learni... [more] | NC2019-116 pp.231-236 |
| NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2019-12-06 13:55 |
Tokyo | NHK Science & Technology Research Labs. | [Poster Presentation]
Time-Varying Complex AR speech analysis based on l2-norm regularization Keiichi Funaki (Univ. of the Ryukyus) SP2019-41 |
Linear prediction (LP) is a mathematical operation estimating an all-pole spectrum from the speech signal. It is an ess... [more] |
SP2019-41 pp.73-77 |
| ITE-BCT, SIS | 2019-10-24 15:30 |
Fukui | Fukui International Activities Plaza | Image Regularization with Total Variation and Morphological Gradient Priors Using Optimization of Structuring Element for Each Pixel Shoya Oohara, Hirotaka Oka, Mistuji Muneyasu, Soh Yoshida (Kansai Univ.), Makoto Nakashizuka (CIT) SIS2019-17 |
As an image prior for image restoration, a method using the sum of morphological gradients has been proposed. Optimizati... [more] | SIS2019-17 pp.47-52 |
| EA, ASJ-H, ASJ-AA | 2019-07-17 11:00 |
Hokkaido | SAPPORO COMMUNITY PLAZA | Sound source separation by synchronized joint diagonalization under underdetermined conditions using regularization Taiki Izumi (Oita Univ.), Yuuki Tachioka (Denso IT Laboratory), Shingo Uenohara, Ken'ichi Furuya (Oita Univ.) EA2019-13 |
(To be available after the conference date) [more] | EA2019-13 pp.65-70 |
| IMQ, IE, MVE, CQ (Joint) [detail] |
2019-03-14 11:15 |
Kagoshima | Kagoshima University | Kansei Retrieval of Real Estate Properties Naoko Kobayashi (UEC), Shinichi Nunoya, Yusuke Suzuki, Masachika Suzuki, Yoshio Asada (AVANT Corporation), Hiroki Takahashi (UEC) IMQ2018-33 IE2018-117 MVE2018-64 |
In order to find a desired room on real estate property retrieval sites which are indispensable service for searching a ... [more] | IMQ2018-33 IE2018-117 MVE2018-64 pp.61-66 |
| IMQ, IE, MVE, CQ (Joint) [detail] |
2019-03-14 13:55 |
Kagoshima | Kagoshima University | Multi Frame Super-Resolution Magnification method using TV Regularization and Learning-based Method Taiki Kondo, Hiroto Kizuna, Hiromasa Takeda, Hiroyuki Sato (Iwate Pref. Univ.) IMQ2018-38 IE2018-122 MVE2018-69 |
A method combining a Based learning method and ShockFilter for Total Variation (TV) regularization, which is one of supe... [more] | IMQ2018-38 IE2018-122 MVE2018-69 pp.91-96 |
| IMQ, IE, MVE, CQ (Joint) [detail] |
2019-03-14 14:20 |
Kagoshima | Kagoshima University | Implementation and Evaluation of Total Variation Regularization Decomposition for Super Resolution using an Inexpensive Single Board Computer Hiromasa Takeda, Taiki Kondo, Hiroto Kizuna, Hiroyuki Sato, Eiji Sugino (Iwate Pref. Univ.) IMQ2018-39 IE2018-123 MVE2018-70 |
With the advent of large and high resolution displays in recent years, large screen electronic signage such as digital s... [more] | IMQ2018-39 IE2018-123 MVE2018-70 pp.97-102 |
| EA, SIP, SP | 2019-03-15 13:30 |
Nagasaki | i+Land nagasaki (Nagasaki-shi) | [Poster Presentation]
F0 estimation using TV-CAR speech analysis based on Regularized LP Keiichi Funaki (Univ. of the Ryukyus) EA2018-152 SIP2018-158 SP2018-114 |
Linear Prediction (LP) analysis is speech analysis to estimate AR(Auto-Regressive) coefficients to represent the all-pol... [more] | EA2018-152 SIP2018-158 SP2018-114 pp.311-316 |
| IT, ISEC, WBS | 2019-03-08 10:15 |
Tokyo | University of Electro-Communications | Typical performance of the L1 regularization regression from linear measurements with measurement noise and large coherence Minori Ihara, Kazunori Iwata, Kazushi Mimura (Hiroshima City Univ.) IT2018-117 ISEC2018-123 WBS2018-118 |
We evaluate typical performance of compressed sensing in the case where iterative recovery algorithms fail to converge. ... [more] | IT2018-117 ISEC2018-123 WBS2018-118 pp.257-262 |
| RCS, SIP, IT | 2019-01-31 10:15 |
Osaka | Osaka University | A Study on Regularization Parameter in OFDM Communication Using Sparse Channel Estimation Kenta Kawahara, Takahiro Natori (Tokyo Univ. of Science), Takashi Yoshida (TMCIT), Akira Nakamura, Makoto Itami, Naoyuki Aikawa (Tokyo Univ. of Science) IT2018-38 SIP2018-68 RCS2018-245 |
In recent years, sparse estimation using signal sparsity, which is one solution to the inverse problem, attracts attenti... [more] | IT2018-38 SIP2018-68 RCS2018-245 pp.19-24 |
| NLP, NC (Joint) |
2019-01-24 15:20 |
Hokkaido | The Centennial Hall, Hokkaido Univ. | A New Method for Deriving Multiplicative Update Rules for NMF with Error Functions Containing Logarithm Akihiro Koso, Norikazu Takahashi (Okayama Univ.) NLP2018-122 |
Nonnegative Matrix Factorization (NMF) is an operation that decomposes a given nonnegative matrix X into two nonnegative... [more] | NLP2018-122 pp.137-142 |
| IE | 2018-06-29 10:20 |
Okinawa | Single-image Rain Removal Using Residual Deep Learning Takuro Matsui, Masaaki Ikehara, Takanori Fujisawa (Keio Univ.) IE2018-23 |
Most outdoor vision systems can be influenced by rainy weather conditions. In this paper, we address a rain removal prob... [more] | IE2018-23 pp.13-18 |
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