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 Results 1 - 19 of 19  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
Online Online A Model Selection Optimization Method for Distributed Machine Learning with Feature Model Combination
Ryuichi Mochizuki, Takeshi Tsuchiya, Hiroo Hirose, Tetsuyasu Yamada (SUS) IN2020-83
This study clarifies the optimal feature model selection method in data analysis under the environment where the feature... [more] IN2020-83
SDM 2019-10-24
Miyagi Niche, Tohoku Univ. Resistance Measurement Platform for Statistical Evaluation of Emerging Memory Materials with High Accuracy
Takeru Maeda, Yuya Omura, Rihito Kuroda, Akinobu Teramoto, Tomoyuki Suwa, Shigetoshi Sugawa (Tohoku Univ.) SDM2019-65
A high precision 1 Ω – 10 MΩ range resistance measurement platform is presented. The developed platform excludes on-resi... [more] SDM2019-65
Hiroshima ICCH Ran Bipartite discrimination of independently prepared quantum states -- A counterexample of a parallel repetition conjecture --
Seiseki Akibue, Go Kato (NTT)
For distinguishing quantum states sampled from a fixed ensemble, the gap in bipartite and single-party distinguishabilit... [more]
CNR 2017-06-16
Tokyo Panasonic Lab. Tokyo Proposal of environmental map merge in multi robot SLAM using relative coordinates corresponding to first person perspective image
Toshiyuki Watanabe, Daisuke Sakamoto, Tetsuo Ono (Hokkaido Univ.) CNR2017-3
In recent years, demonstration experiments of guidance robots have been conducted at Haneda Airport and other places for... [more] CNR2017-3
IA 2016-11-09
Hokkaido Onuma International Seminar Hous Study of a Load Distribution Technique by Relay Nodes for Sensor Data Stream Collection Systems
Tomoya Kawakami (NAIST), Yoshimasa Ishi, Tomoki Yoshihisa (Osaka Univ), Yuuichi Teranishi (NICT/Osaka Univ.) IA2016-62
In this paper, we describe a load distribution method using relay nodes in periodical sensor data collection systems. Co... [more] IA2016-62
NLP, CCS 2015-06-11
Tokyo Waseda Univerisity Data assimilation for coupled dynamical systems using a merging particle filter
Eitaro Waranabe, Sho Shirasaka, Hiroya Nakao (Tokyo Tech) NLP2015-48 CCS2015-10
We propose a method to estimate unknown parameters of coupled dynamical systems from observed data using a merging parti... [more] NLP2015-48 CCS2015-10
- 2013-12-20
Ehime Matsuyama Multi-Purpose Community Cente "Interactive Pray System" using Vortex Air Cannon
Shuhei Yamamoto, Ryoko Ueoka (Kyushu Univ.)
Act of worship at the shrine is usually a one-way communication from the worshipers. So whether their wishes are reached... [more]
NS 2013-04-18
Ishikawa The Wajima Chamber of Commerce and Industry A Study of the Data Merging on the Distributed Processing Framework
Satoshi Kondoh, Masashi Kaneko, Takeshi Fukumoto (NTT) NS2013-4
Recently, to acquire the high reliance and the high performance for the increase of the number of users, we often apply ... [more] NS2013-4
Okinawa Youth Center of Okinawa prefecture Consideration of the energy calculation for seamcarving
Seizi Takemoto, Mohammad Reza Asharif, Shiro Tamaki (Univ. of the Ryukyus) SAT2012-59
Recently, various devices spread and image datasize increases.When image data share between devices different in the res... [more] SAT2012-59
SIS 2011-03-03
Tokyo Tokyo City University (Setagaya Campus) Preferential Region Merging of Segmented Images Based on Saliency Map
Mitsuhiko Meguro, Kazuhiro Nakao (Nihon Univ.), Akira Taguchi (Tokyo City Univ.) SIS2010-61
In this paper, we propose a new region merging method for over-segmented color images. The proposed method can decide th... [more] SIS2010-61
RECONF, VLD, CPSY, IPSJ-SLDM [detail] 2011-01-17
Kanagawa Keio Univ (Hiyoshi Campus) Acceleration of Regression Test of Compilers by Program Merging
Kazushi Morimoto, Nagisa Ishiura (Kwansei Gakuin Univ.), Yuki Uchiyama (K-OPT), Nobuyuki Hikichi (SRA, Inc) VLD2010-94 CPSY2010-49 RECONF2010-63
This article presents a method of accelerating regression test of compilers by merging programs in test suites. Testing ... [more] VLD2010-94 CPSY2010-49 RECONF2010-63
ICD 2009-04-13
Miyagi Daikanso (Matsushima, Miyagi) [Panel Discussion] Which memory technology win win the low-VDD race in SoC?
Hideto Hidaka (Renesas Tech.), Masanao Yamaoka (Hitachi, Ltd.), Shinji Miyano (Toshiba Corp.), Satoru Akiyama (Hitachi, Ltd.), Tadahiko Sugibayashi (NEC), Syoichiro Kawashima (Fujitsu Limited), Masataka Osaka (Panasonic) ICD2009-4
A panel discussion session will high-light low-voltage memory trends, limitations, and future prospects by discussing on... [more] ICD2009-4
ITE-BCT, IE, CS, IPSJ-AVM 2008-12-12
Aichi Nagoya University A Method of Designing 3D Predictors Based on Intra-Frame Dividing and Inter-Frame Merging for Lossless Video Coding
Shuma Okazaki, Ichiro Matsuda, Susumu Itoh (Tokyo Univ. of Science.) CS2008-50 IE2008-114
We are developing an efficient lossless video coding scheme based on motion compensation and block-adaptive 3D predictio... [more] CS2008-50 IE2008-114
SS 2008-03-04
Nagasaki Nagasaki Univ. A task granularity control for reduction of response time at task assignment
Hidehiro Kanemitsu, Hidenori Nakazato, Takashige Hoshiai, Yoshiyori Urano (Waseda Univ.) SS2007-70
We present a method for merging tasks in order to control granularity of tasks to be executed in distributedsystems. To ... [more] SS2007-70
AI, KBSE 2007-03-28
Tokyo   Acquiring Classification Rules by using Adaptive Resonance Theory
You Nasu, Takeshi Yamada, Hiroaki Ueda, Kenichi Takahashi, Tetsuhiro Miyahara (Hiroshima City Univ.)
We propose two on-line classification methods, ARTMAPED and ARTMAPAW, which are based on adaptive resonance theory. ARTM... [more] AI2006-70 KBSE2006-78
COMP 2006-06-23
Saitama Saitama Univ. Reductions for Monotone Boolean Circuits
Kazuo Iwama, Hiroki Morizumi (Kyoto Univ.)
The large class, say {\it NLOG}, of Boolean functions, including 0-1 Sort and 0-1 Merge, have an upper bound of $O(n\log... [more] COMP2006-19
NLP 2006-03-21
Tokyo Hosei Univ.(Ichigaya Campus) Speeding up reinforcement learning by autonomous construction of state space
Ikuro Ohshima, Hidehiro Nakano, Arata Miyauchi (Musashi Inst. Tech.)
Then reinforcement learning is applied to real tasks, the calculation amount increases as the number of states increases... [more] NLP2005-153
KBSE 2005-09-12
Tokyo Kikai-Shinko-Kaikan Bldg On the Synthesis of System Models by Merging Various Views
Takakazu Kaneko, Nobuoki Mano (Meisei Univ.)
We have been researching system design method using knowledge-based models in state-based specification. In this paper, ... [more] KBSE2005-16
PRMU, NLC 2005-02-24
Tokyo   Merging Shock Trees Using Alignable Mappings
Tetsuji Kuboyama, Kilho Shin (Univ. of Tokyo), Tetsuhiro Miyahara (Hiroshima City Univ.)
A shock tree is a very effective characterization for representing 2D shapes. Torsello and Hancock have proposed an unsu... [more] NLC2004-113 PRMU2004-195
 Results 1 - 19 of 19  /   
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