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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| RCS | 2018-04-23 11:20 |
Yamaguchi | Hotel New Tanaka, Yuda Onsen | Optimization of Beam Patterns for Analog Beamforming of Single User Massive MIMO Transmissions Maki Arai, Kei Sakaguchi, Kiyomichi Araki (Tokyo Inst. of Tech.)  RCS2018-5 |
This paper proposes optimal beam patterns of analog beamforming for SU (Single User) massive MIMO (Multi-Input Multi-Out... [more] | RCS2018-5 pp.25-30 |
| CQ | 2018-01-18 10:45 |
Tokyo | NII | On the Effectiveness of Influence Measures for Identifying Influencers and their Correlations in Social Networks Shumpei Takemura, Sho Tsugawa (UoT) CQ2017-88 |
Identifying influential nodes in social networks is one of the important research topics in the field of network science... [more] | CQ2017-88 pp.17-22 |
| IBISML | 2017-11-09 13:00 |
Tokyo | Univ. of Tokyo | IBISML2017-72 |
We propose an accelerated best-first search (BFS) for monotone submodular function maximization with a knapsack constrai... [more] | IBISML2017-72 pp.277-282 |
| AP, RCS (Joint) |
2017-11-09 13:25 |
Fukuoka | Fukuoka University | [Invited Lecture]
Performance Evaluation of User Scheduling Method Based on Channel Capacity Maximization in Massive MIMO Masanao Sasaki, Kota Igarashi, Sho Okumura, Hiroaki Nakabayashi (Chiba Inst. Tech) AP2017-126 RCS2017-231 |
In recent years, studies on the 5th generation mobile communication system (5G) are under way, and massive MIMO technol... [more] | AP2017-126 RCS2017-231 pp.97-102(AP), pp.153-158(RCS) |
| NLP, CAS | 2017-10-06 13:00 |
Niigata | Machinaka Campus Nagaoka | Derivation of Global Clustering Coefficient Maximizing Graphs in the Case Where the Size is Close to the Order Ryoka Kuriki, Norikazu Takahashi (Okayama Univ.) CAS2017-37 NLP2017-62 |
The clustering coefficient is a measure of the tendency of vertices in a network to form clusters. It is known that many... [more] | CAS2017-37 NLP2017-62 pp.69-74 |
| CS, CQ (Joint) |
2017-04-21 14:45 |
Hokkaido | Chitose Institute of Science and Technology | Evaluation of the Robustness of Influence Maximization Algorithms against Random Perturbations to Influence Spread Probability Sho Tsugawa (Univ. of Tsukuba), Hiroyuki Ohsaki (Kwansei Gakuin Univ.) CQ2017-11 |
Given a social network, an influence maximization algorithm aims to find a set of influential (seed) nodes in the networ... [more] | CQ2017-11 pp.53-58 |
| IBISML | 2016-11-17 14:00 |
Kyoto | Kyoto Univ. | Budgeted stream-based active learning via adaptive submodular maximization Kaito Fujii, Hisashi Kashima (Kyoto Univ.) IBISML2016-74 |
Active learning enables us to reduce the annotation cost by adaptively selecting unlabeled instances to be labeled. For ... [more] | IBISML2016-74 pp.199-206 |
| EE, WPT (Joint) |
2016-10-07 09:00 |
Kyoto | Maximum Efficiency Control of Wireless Power Transfer Based on Simultaneous Estimation of Generalized Secondary-Side Parameters Katsuhiro Hata, Takehiro Imura, Yoichi Hori (The Univ. of Tokyo) WPT2016-30 |
Secondary-side efficiency control for wireless power transfer systems has been proposed to simplify the primary-side str... [more] | WPT2016-30 pp.61-66 |
|
| NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] | 2016-07-06 10:25 |
Okinawa | Okinawa Institute of Science and Technology | A Semi-supervised Learning Method for Imbalanced Binary Classification Akinori Fujino, Naonori Ueda (NTT) IBISML2016-3 |
This paper presents a semi-supervised learning method for imbalanced binary classification where the number of positive ... [more] | IBISML2016-3 pp.195-200 |
| CS, CQ, NV (Joint) |
2016-04-21 10:10 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | On the Effects of Random Jump in an Influence Maximization Algorithm for Unknown Graphs Shodai Mihara (Kwansei Gakuin Univ.), Sho Tsugawa (Univ. of Tsukuba), Hiroyuki Ohsaki (Kwansei Gakuin Univ.) CQ2016-3 |
We have proposed a problem called influence maximization for unknown graphs, and a heuristic algorithm for the problem... [more] |
CQ2016-3 pp.13-18 |
| IBISML | 2016-03-17 13:25 |
Tokyo | Institute of Statistical Mathematics | Max-Margin Latent Feature Relational Models with Dual Decomposition for Relational Attribute Prediction Tsubasa Nishide, Koji Eguchi (Kobe Univ.) IBISML2015-95 |
(To be available after the conference date) [more] | IBISML2015-95 pp.9-16 |
| IE, CS, IPSJ-AVM, ITE-BCT [detail] | 2015-12-04 10:35 |
Hyogo | Multiple Temporal Resolution Imaging for High Quality - High Dynamic Range Video Reconstruction Hidenori Tabata, Takayuki Hamamoto (TUS) CS2015-70 IE2015-95 |
In this paper, we propose a multiple temporal resolution imaging for high quality-high dynamic rage (HDR) video reconstr... [more] | CS2015-70 IE2015-95 pp.93-97 |
|
| WPT | 2015-06-12 14:45 |
Tokyo | Univ. of Tokyo | Design of Efficient Wireless Power Transfer via Magnetic Resonant Coupling using Multiple Transmitter Coils Hiroki Narita, Takafumi Koseki (Univ. Tokyo) WPT2015-26 |
Wireless Power Transfer (WPT) is expected as a novel power feeding method where conventional wiring is difficult or caus... [more] | WPT2015-26 pp.31-36 |
| SP, IPSJ-SLP (Joint) |
2014-07-25 09:30 |
Iwate | Hotel Hanamaki | A generalized discriminative training framework for system combination Yuuki Tachioka, Shinji Watanabe, Jonathan Le Roux, John Hershey (Mitsubishi Electric) SP2014-65 |
This paper proposes a generalized discriminative training framework for system combination, which encompasses acoustic m... [more] | SP2014-65 pp.13-18 |
| SP, IPSJ-MUS | 2014-05-24 11:30 |
Tokyo | Discriminative training of acoustic models for system combination Yuuki Tachioka (Mitsubishi Electric), Shinji Watanabe, Jonathan Le Roux, John R. Hershey (MERL) SP2014-15 |
In discriminative training methods, the objective function is designed to improve the performance of automatic speech re... [more] | SP2014-15 pp.147-152 |
|
| IBISML | 2014-03-07 16:20 |
Nara | Nara Women's University | Binary Principal Points Based on Subgradient Method and Its Application Haruka Yamashita (Keio Univ.), Yoshinobu Kawahara (Osaka Univ.) IBISML2013-82 |
Analysis with Principal Points is a useful statistical tool for summarizing large data. Principal Points is defined as s... [more] | IBISML2013-82 pp.109-115 |
| COMP | 2013-12-21 16:30 |
Okinawa | Okinawa Industry Support Center | Label Size Maximization for Square Labels on Rotating Maps Yusuke Yokosuka, Keiko Imai (Chuo Univ.) COMP2013-59 |
Map labeling is a problem of placing labels at corresponding graphical features on a map. There are two optimization pro... [more] | COMP2013-59 pp.131-135 |
| DE, IPSJ-DBS, IPSJ-IFAT | 2013-07-23 16:00 |
Hokkaido | Hokkaido University | Gibbs Sampling Estimation of Maximum Margin Supervised Topic Models for Regression Ryosuke Ueno, Koji Eguchi (Kobe Univ.) DE2013-31 |
Regression based on latent topics is one of the promising approaches for analyzing a collection of documents associated ... [more] | DE2013-31 pp.187-192 |
| NC, IPSJ-BIO | 2013-06-28 10:30 |
Okinawa | Okinawa Institute of Science and Technology | Optimal pairs of coupling function and STDP window function for auto-associative memory Ryota Miyata, Keita Sato, Toru Aonishi (Tokyo Inst. of Tech.) NC2013-6 |
From the computational viewpoint, Lengyel et al. (2005) derived an optimal auto-associative memory algorithm to store an... [more] | NC2013-6 pp.101-106 |
| COMP, IPSJ-AL | 2013-05-18 16:30 |
Hokkaido | Otaru University of Commerce | Label Size Maximization for Rotating Maps Yusuke Yokosuka, Keiko Imai (Chuo Univ.) COMP2013-18 |
Map labeling is a problem of placing labels at the corresponding graphical features in a map. There are two optimizati... [more] |
COMP2013-18 pp.157-162 |
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