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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 26  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
IE, MVE, CQ, IMQ
(Joint) [detail]
2024-03-15
10:30
Okinawa Okinawa Sangyo Shien Center
(Primary: On-site, Secondary: Online)
A Point Cloud Downsampling Method Considering Local Features for 3D Object Classification
Ryota Sugimoto, Kenji Kanai, Shiori Maki, Jiro Katto (Waseda Univ.) IMQ2023-70 IE2023-125 MVE2023-99
In recent years, use of point cloud data has been considered for 3D spatial recognition. To reduce processing load cause... [more] IMQ2023-70 IE2023-125 MVE2023-99
pp.313-318
SIP, SP, EA, IPSJ-SLP [detail] 2024-02-29
16:20
Okinawa
(Primary: On-site, Secondary: Online)
EA2023-77 SIP2023-124 SP2023-59 In this paper, we consider a dynamic sensor placement problem where sensors can move within a network over time. Sensor ... [more] EA2023-77 SIP2023-124 SP2023-59
pp.97-102
IN, IA
(Joint)
2023-12-22
15:00
Hiroshima Satellite Campus Hiroshima [Short Paper] A Study on the Applicability of Graph Reduction to Evaluating the Robustness of Complex Networks
Murakawa Yamato, Ryotaro Matsuo, Ryo Nakamura (Fukuoka Univ.) IA2023-53
Generally, the computational complexity of network simulation and machine learning based on graph structure such as GNN ... [more] IA2023-53
pp.48-52
PRMU 2022-12-16
14:10
Toyama Toyama International Conference Center
(Primary: On-site, Secondary: Online)
Sampling Strategies in Data Pruning
Ryota Higashi, Toshikazu Wada (Wakayama Univ.) PRMU2022-48
Data Pruning is a method of selecting the training data out of an entire training dataset so as to keep the accuracy aft... [more] PRMU2022-48
pp.85-90
CCS, NLP 2022-06-10
10:55
Osaka
(Primary: On-site, Secondary: Online)
[Invited Talk] Computation and learning based on dual stochasticity of the brain
Jun-nosuke Teramae (Kyoto Univ.) NLP2022-16 CCS2022-16
Neurons and synapses in the brain are highly stochastic devices. Neurons responsible for signal propagation in the brain... [more] NLP2022-16 CCS2022-16
pp.78-83
LOIS, ICM 2022-01-27
15:25
Online Online [Invited Talk] Cyber Security with Human-in-the-Loop Machine Learning
Masato Uchida (Waseda Univ.) ICM2021-38 LOIS2021-36
There have been many studies on methods to detect various malicious activities in cyberspace using machine learning mode... [more] ICM2021-38 LOIS2021-36
pp.31-33
NLP, MICT, MBE, NC
(Joint) [detail]
2022-01-23
10:55
Online Online Reward-oriented Environment Inference on Reinforcement Learning
Kazuki Takahashi (Kogakuin Univ.), Tomoki Fukai (OIST), Yutaka Sakai (Tamagawa Univ.), Takashi Takekawa (Kogakuin Univ.) NC2021-42
Experiments on humans using the bandit problem have shown that dimensionality reduction of complex observations to a sta... [more] NC2021-42
pp.49-54
RISING
(3rd)
2021-11-16
09:30
Tokyo
(Primary: On-site, Secondary: Online)
On Attack Pattern Classification in IoT Networks for Network Intrusion Detection Systems
Jesse Atuhurra, Takanori Hara (NAIST), Yuanyu Zhang (Xidian Univ.), Shoji Kasahara (NAIST)
With the proliferation of IoT devices, IoT security problems arise. To protect heterogeneous connected devices in IoT ne... [more]
LOIS 2020-03-12
11:05
Okinawa Nobumoto Ohama Memorial Hall
(Cancelled but technical report was issued)
Distributed active learning achieving both of monitoring and efficient time-series data sampling for edge computing
Osamu Saisho, Keiichiro Kashiwagi, Yui Saito, Tomoyuki Fujino (NTT) LOIS2019-73
For edge computing, there is still a great demand to upload only meaningful data to cloud,. However there is no practica... [more] LOIS2019-73
pp.97-101
WIT, SP 2019-10-26
17:00
Kagoshima Daiichi Institute of Technology Neural Whispered Speech Detection with Imbalanced Learning
Takanori Ashihara, Yusuke Shinohara, Hiroshi Sato, Takafumi Moriya, Kiyoaki Matsui, Yoshikazu Yamaguchi (NTT) SP2019-26 WIT2019-25
In this paper, we present a neural whispered-speech detection technique that offers utterance-level classification of wh... [more] SP2019-26 WIT2019-25
pp.51-56
IBISML 2018-11-05
15:10
Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] Proposal of Hyperparameter Optimization Framework Using a Non-Stationary Multi-Armed Bandit Algorithm
Kenshi Abe, Masahiro Nomura (CA) IBISML2018-62
Hyperparameter optimization problem is an important problem that appears in areas such as machine learning. Hyperparamet... [more] IBISML2018-62
pp.135-142
EA, ASJ-H 2017-07-20
15:00
Hokkaido Hokkaido Univ. [Invited Talk] Revisiting VOCODER -- Why I intentionally discard the original phase of the original speech? --
Hideki Kawahara (Wakayama Univ.) EA2017-4
VOCODER is a framework invented for narrow band communication about 80 years ago. It has been providing a productive bas... [more] EA2017-4
pp.21-26
PRMU, IBISML, IPSJ-CVIM [detail] 2014-09-02
15:45
Ibaraki   Sampling Learning Algorithm by Oracle Distribution
Sho Sonoda, Noboru Murata (Waseda Univ.) PRMU2014-52 IBISML2014-33
A new sampling learning algorithm for neural networks is proposed. Based on the integral representation of neural networ... [more] PRMU2014-52 IBISML2014-33
pp.137-142
IBISML 2012-11-08
15:00
Tokyo Bunkyo School Building, Tokyo Campus, Tsukuba Univ. Calculation Method for WAIC Using Sequential Importance Sampling
Takushi Miki, Sumio Watanabe (Tokyo Tech) IBISML2012-70
The bayes generalization loss represents the distance of the predictive distribution and the true distribution.
It is u... [more]
IBISML2012-70
pp.259-263
PRMU, NLC 2012-06-29
17:00
Tokyo   Bayesian Nonparametric Approach to Audio Event Detection
Yasunori Ohishi (NTT), Daichi Mochihashi, Tomoko Matsui (ISM), Masahiro Nakano, Hirokazu Kameoka, Tomonori Izumitani, Kunio Kashino (NTT) NLC2012-9 PRMU2012-29
As the amount of available multimedia data increases, the technique to automatically extract the significant information... [more] NLC2012-9 PRMU2012-29
pp.37-42
CQ, CS
(Joint)
2011-04-21
10:25
Kagoshima Yakushima Environmental Culture Village Center Low-cost Traffic Classification Method for Large-scale ISP
Takayuki Goto, Chikara Sasaki, Atsuo Tachibana, Shigehiro Ano (KDDI R&D Labs.) CQ2011-1
Quantifying the traffic volume of each protocol is useful for effective traffic engineering and network designing. A str... [more] CQ2011-1
pp.1-4
CS, SIP, CAS 2011-03-03
17:10
Okinawa Ohhamanobumoto memorial hall (Ishigaki)( [Memorial Lecture] Sampling Theory and Principle of Science
Hidemitsu Ogawa (Tokyo Univ. School of Social Welfare) CAS2010-122 SIP2010-138 CS2010-92
The problem of sampling theorem is reformulated from the functional analytic point of view. As a result, it is shown tha... [more] CAS2010-122 SIP2010-138 CS2010-92
pp.119-126
IBISML 2010-06-14
09:35
Tokyo Takeda Hall, Univ. Tokyo [Invited Talk] Advances in Statistical Machine Learning -- An Approach based on Probability Density Ratios --
Masashi Sugiyama (Tokyo Inst. of Tech.) IBISML2010-1
Recently, we developed a new ML framework that allows us to
systematically avoid density estimation. The key idea is t... [more]
IBISML2010-1
p.1
NS, IN
(Joint)
2010-03-05
11:00
Miyazaki Miyazaki Phoenix Seagaia Resort (Miyazaki) Unsupervised Ensemble Anomaly Detection Method using Time-Periodical Packet Sampling
Shuichi Nawata, Masato Uchida (Kyushu Inst. of Tech.), Yu Gu (NEC Labs America), Masato Tsuru, Yuji Oie (Kyushu Inst. of Tech.) IN2009-198
We propose an anomaly detection method that trains a baseline model describing the normal behavior of network traffic wi... [more] IN2009-198
pp.325-330
WIT, HIP, HCS 2009-05-14
- 2009-05-15
Okinawa Okinawa Industry Support Center Manipulating Higher-order Impressions of a Class of 3D Objects Using the Morphable 3D Model -- Measurement of Impressions by the SD Method and Psychological Evaluation of the Transformation --
Yoshinori Inaba (Hosei Univ.), Hanae Ishi (Miyagi National Tech.), Kochi Jumpei (Hosei Univ.), Jiro Gyoba (Tohoku Univ.), Shigeru Akamatsu (Hosei Univ.)
This paper describes a method for achieving a novel design within a class of 3D objects that would create a preferred im... [more]
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