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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 #
IE, MVE, CQ, IMQ
(Joint) [detail]		 2024-03-14
15:20		 Okinawa Okinawa Sangyo Shien Center
(Primary: On-site, Secondary: Online)		 Efficient regularizer for 4D light field image denoising based on graph-learning
Rino Yoshida (TUS), Kazuya Kodama (NII), Gene Cheung (York Univ.), Takayuki Hamamoto (TUS) IMQ2023-56 IE2023-111 MVE2023-85		 Advanced 3D visual media as promising technology often require 4D light fields composed of dense multi-view images for a... [more] IMQ2023-56 IE2023-111 MVE2023-85
pp.235-240
MBE, NC
(Joint)		 2022-03-02
11:00		 Online Online Learning of a stacked autoencoder with regularizers added to the cost function, evaluation of their effectiveness, and clarification of its information compression mechanism
Masumi Ishikawa (Kyutech) NC2021-49		 Deep learning has a serious drawback in that the resulting models tend to be a black box, hence hard to understand. A sp... [more] NC2021-49
pp.17-22
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
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
CQ, MVE, IE, IMQ
(Joint) [detail]		 2018-03-08
16:20		 Okinawa Okinawa Industry Support Center
Tomoki Imazeki, Yusuke Kameda, Tomokazu Ishikawa, Ichiro Matsuda, Susumu Itoh (TUS) IMQ2017-45 IE2017-137 MVE2017-87		 (To be available after the conference date) [more] IMQ2017-45 IE2017-137 MVE2017-87
pp.111-115
NLP 2017-05-11
16:00		 Okayama Okayama University of Science Multiplicative Update Rules for Nonnegative Matrix Factorization with Regularization Terms
Akihiro Koso, Norikazu Takahashi (Okayama Univ.) NLP2017-13		 Nonnegative Matrix Factorization (NMF) is an operation that decomposes a given nonnegative matrix into two nonnegative f... [more] NLP2017-13
pp.63-68
 Results 1 - 6 of 6  /   
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