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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 9 of 9  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
IBISML 2018-11-05
15:10
Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] An Efficient Branch-and-Bound Algorithm for Submodular Function Maximization
Naoya Uematsu, Shunji Umetani, Yoshinobu Kawahara (Osaka Univ./RIKEN) IBISML2018-68
The submodular function maximization is an attractive optimization model that appears in many real applications.
Altho... [more]
IBISML2018-68
pp.183-190
MoNA 2018-01-18
16:05
Kyoto Campus Plaza Kyoto [Encouragement Talk] Submodular optimization based dynamic base station sleep control toward green mmWave networks
Akihiro Egami, Takayuki Nishio, Masahiro Morikura (Kyoto Univ.), Yusuke Asai, Ryo Miyatake (NTT) MoNA2017-47
This paper proposes a dynamic millimeter-wave (mmWave) base station (BS) sleep control scheme for green mmWave networks.... [more] MoNA2017-47
pp.33-38
IBISML 2017-11-10
13:00
Tokyo Univ. of Tokyo Active Learning based on Submodular Optimization Considering Label Expansion
Masanari Kimura, Kei Wakabayashi (Tsukuba Univ.) IBISML2017-84
The goal of general active learning is to select data that can achieve the construction of the highest performance class... [more] IBISML2017-84
pp.355-360
CQ 2017-08-29
10:20
Tokyo Tokyo University of Science Centralized base station sleep control via submodular optimization for green mmWave networks
Akihiro Egami, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto (Kyoto Univ.) CQ2017-60
This paper proposes a dynamic millimeter-wave (mmWave) base station (BS) sleep control scheme for green mmWave networks.... [more] CQ2017-60
pp.53-58
SP 2015-08-21
16:15
Iwate Iwate Prefectural Univ. Training Data Selection for Acoustic Modeling Based on Submodular Optimization of Joint KL Divergence
Taichi Asami, Ryo Masumura, Hirokazu Masataki, Manabu Okamoto, Sumitaka Sakauchi (NTT) SP2015-58
This paper provides a novel training data selection method to
construct acoustic models for automatic speech recogniti... [more]
SP2015-58
pp.45-50
MI 2014-01-26
10:30
Okinawa Bunka Tenbusu Kan Exact solution method for MRF model-based image segmentation based on continuous optimization -- Application to abdominal CT image and performance evaluation --
Takahiro Tayama, Hiroyuki Kudo, Hotaka Takizawa (Univ. of Tsukuba) MI2013-58
The medical image segmentation helps physicians to find diseased internal organs to perform the computer aided diagnosis... [more] MI2013-58
pp.13-18
IBISML 2012-06-19
11:00
Kyoto Campus plaza Kyoto Online Prediction under Submodular Constraints
Daiki Suehiro, Kohei Hatano, Shuji Kijima, Eiji Takimoto (Kyushu Univ.), Kiyohito Nagano (Tokyo Univ.) IBISML2012-3
 [more] IBISML2012-3
pp.15-22
IBISML 2011-11-09
15:45
Nara Nara Womens Univ. Prismatic algorithm for discrete D.C. programming problem
Yoshinobu Kawahara, Takashi Washio (Osaka Univ.) IBISML2011-56
In this paper, we propose the first exact algorithm for minimizing the difference of two submodular functions (D.S.), {\... [more] IBISML2011-56
pp.93-98
COMP 2007-04-26
13:15
Kyoto Katsura Campus, Kyoto University On Convex Optimization over Base Polytopes
Kiyohito Nagano (Univ. of Tokyo) COMP2007-4
This note considers convex optimization problems over base polytopes of polymatroids. We show that the decomposition alg... [more] COMP2007-4
pp.25-31
 Results 1 - 9 of 9  /   
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