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Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU 2020-12-18
Online Online Zero-shot generative model considering attribute uncertainty
Yuta Sakai (Waseda Univ.), Kenta Mikawa (SIT), Masayuki Goto (Waseda Univ.) PRMU2020-59
Classification problems in machine learning remain an important research topic. In general, classification estimates unk... [more] PRMU2020-59
NLP 2019-09-24
Kochi Eikokuji Campus, University of Kochi New formulation of optimal regulator problem for input-cost term with offsets
Yuh Yamashita, Yuta Sakai, Koichi Kobayashi (Hokkaido Univ.) NLP2019-55
An optimal control problem such that a desired state is different from the state at which input cost becomes zero, is il... [more] NLP2019-55
WBS, IT, ISEC 2018-03-09
Tokyo Katsusika Campas, Tokyo University of Science On the Generalization of Fano's Inequality for Countably Infinite Alphabets, List-Decoding, and General Conditional Information Measures
Yuta Sakai (Univ. Fukui) IT2017-133 ISEC2017-121 WBS2017-114
Analogues of Fano's inequality are investigated under the following settings:
Firstly, the alphabet $mathcal{X}$ of a d... [more]
IT2017-133 ISEC2017-121 WBS2017-114
IT 2016-09-02
Saga New Heartpia Construction, Encoding, and Decoding of Polar Codes with Multilevel Polarization for $q$-Ary Input Generalized Erasure Channels
Tomoyuki Kiuchi, Yuta Sakai, Ken-ichi Iwata (Univ. of Fukui) IT2016-36
On polar codes, the size of the alphabet to be considered grows double-exponentially with the number of polar transforma... [more] IT2016-36
IT 2016-09-02
Saga New Heartpia Speed-Up Method for Optimal Quantizations of Binary-Input Discrete Memoryless Channels with Monge Property
Yuta Sakai, Ken-ichi Iwata (Univ. of Fukui) IT2016-40
This study examines quantizations for outputs of binary-input discrete memoryless channels (B-DMCs) by concatenating a D... [more] IT2016-40
IT, EMM 2016-05-20
Hokkaido Otaru Economic Center A Sharp Bound Between Two Arimoto's Conditional Renyi Entropies with Distinct Positive Orders
Yuta Sakai, Ken-ichi Iwata (Univ. of Fukui) IT2016-11 EMM2016-11
In information theory, information measures for random variables, such as the Shannon entropy and the Rényi entropy, are... [more] IT2016-11 EMM2016-11
IT, ISEC, WBS 2016-03-10
Tokyo The University of Electro-Communications Relations Between Conditional Shannon Entropy and Expectation of Norm and Their Applications
Yuta Sakai, Ken-ichi Iwata (Univ. of Fukui) IT2015-109 ISEC2015-68 WBS2015-92
The paper investigates the extremal relations between the Shannon entropy and the $ell_{alpha}$-norm. More precisely, th... [more] IT2015-109 ISEC2015-68 WBS2015-92
EMM, IT 2015-05-21
Kyoto Kyoto International Community House Feasible regions of symmetric capacity and Gallager's $E_{0}$ functions for discrete memoryless channels under a uniform input distribution
Yuta Sakai, Ken-ichi Iwata (Univ. of Fukui) IT2015-2 EMM2015-2
This study aims to clarify the extremal channels in the sense of channel reliability functions for some class of channel... [more] IT2015-2 EMM2015-2
ISEC, IT, WBS 2015-03-02
Fukuoka The University of Kitakyushu Algorithms to reduce the number of output symbols on condition that discrete memoryless channel satisfies admissible mutual information
Takumi Nagahara, Yuta Sakai, Ken-ichi Iwata (Univ. of Fukui) IT2014-86 ISEC2014-99 WBS2014-78
Some quantization techniques are used in channel coding system to reduce the complexity of coding problem.
Kurkoski and... [more]
IT2014-86 ISEC2014-99 WBS2014-78
IT 2015-01-30
Chiba   Range of Symmetric Capacity and Reliability Functions for Ternary-Input Discrete Memoryless Channels with Uniform Input Distribution
Yuta Sakai, Ken-ichi Iwata (Univ. of Fukui) IT2014-55
F`{a}bregas, Land, Martinez revealed that binary symmetric channels and binary erasure channels are extremal channels in... [more] IT2014-55
IT 2014-07-18
Hyogo Kobe University On Quantization by Greedy Combining for Outputs of Discrete Memoryless Channels
Yuta Sakai, Ken-ichi Iwata (Univ. of Fukui) IT2014-34
Some quantization techniques are used in practice system to reduce the complexity of coding problem.
Kurkoski and Yagi ... [more]
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