Online edition: ISSN 2432-6380
[TOP] | [2018] | [2019] | [2020] | [2021] | [2022] | [2023] | [2024] | [Japanese] / [English]
NC2024-1
Estimating Proportion of Outliers Based on Alpha-Beta Divergence
-- In the Case of Discrete Distributions --
Masahiro Kobayashi (Toyohashi Tech.)
pp. 1 - 7
NC2024-2
Research on 3D Reconstruction of Shellfish Based on Multi-View Images
Changxin Lyu, Sikun Wang (FIT), Kazuhiro Tsujino (DUP), Cunwei Lu (FIT)
pp. 8 - 13
NC2024-3
Random Fourier feature latent variable model for user preference embedding and analysis
Kazuaki Takehara (SOKENDAI), Daichi Mochihashi (ISM)
pp. 14 - 21
NC2024-4
Dynamics of the accelerated t-SNE
Kyoichi Iwasaki (SOKENDAI), Hideitsu Hino (ISM/RIKEN)
pp. 22 - 29
NC2024-5
(See Japanese page.)
pp. 30 - 36
NC2024-6
Evaluation of Transferability for Adversarial Examples
Shunichi Kato, Ryo Kumagai, Shu Takemoto, Yusuke Nozaki, Masaya Yoshikawa (Meijo Univ.)
pp. 37 - 42
NC2024-7
Anomaly Detection in the Frequency Domain with Statistical Reliability
Akifumi Yamada, Kouichi Taji (Nagoya Univ.), Ichiro Takeuchi (Nagoya Univ./RIKEN)
pp. 43 - 50
NC2024-8
Selective Inference for Reliability Quantification of k-Nearest Neighbor Anomoaly Detection
Mizuki Niihori (Nagoya Univ.), Masaya Ikuta (NITech), Akihumi Yamada, Kouichi Taji, Ichiro Takeuchi (Nagoya Univ.)
pp. 51 - 59
NC2024-9
Selective Inference for Anomaly Detection using Diffusion Models
Teruyuki Katsuoka, Tomohiro Shiraishi (Nagoya Univ.), Daiki Miwa (NITech), Vo Nguyen Le Duy (RIKEN), Ichiro Takeuchi (Nagoya Univ./RIKEN)
pp. 60 - 66
NC2024-10
Distributionally Robust Safe Sample Screening and Its Application to Infinite-width Deep Neural Networks
Tatsuya Aoyama (Nagoya Univ.), Hiroyuki Hanada (RIKEN), Satoshi Akahane, Yoshito Okura, Tomonari Tanaka (Nagoya Univ.), Yu Inatsu (NITech), Noriaki Hashimoto (RIKEN), Taro Murayama, Lee Hanju, Shinya Kojima (DENSO), Ichiro Takeuchi (Nagoya Univ.)
pp. 67 - 72
NC2024-11
Performance Evaluation of Quantized MLP-Mixer
Ryo Kumagai, Shu Takemoto, Yusuke Nozaki, Masaya Yoshikawa (Meijo Univ.)
pp. 73 - 78
NC2024-12
Causal Structure Learning for Zero-Inflated Data Based on Bayes Code
Masatoshi Kobayashi, Yuta Kuboki, Shin Matsushima (UTokyo)
pp. 79 - 84
NC2024-13
(See Japanese page.)
pp. 85 - 89
NC2024-14
(See Japanese page.)
pp. 90 - 93
NC2024-15
(See Japanese page.)
pp. 94 - 97
NC2024-16
Analysis of the model selection method sBIC with learning coefficients and its applications
Keita Yamazaki, Tomoyasu Ohba, Haru Kobayashi, Kyousuke Shimizu (Nihon Univ.), Daisuke Kaji (DENSO), Miki Aoyagi (Nihon Univ.)
pp. 98 - 104
NC2024-17
Model selection of Gaussian Mixture Model on hyperbolic space based on MDL principle
Kota Fukuzawa (UTokyo), Atsushi Suzuki (KCL), Kenji Yamanishi (UTokyo)
pp. 105 - 112
NC2024-18
Analysis of optimal model selection methods for a variety of datasets
Arashi Ogata, Kazuki Oikawa (NTT)
pp. 113 - 120
NC2024-19
Development and Evaluation of a System to Analyze Acceleration and GPS Data for Visualizing the City Bus Behavior by Mapping into the Routes in the Map toward an Extraction of Rules of Decision-Making by Expert Bus Drivers
Takahiro Koga, Jargal Davaanyam, Choisuren Purevdorj (Kyutech), Masayuki Fujiwara (Komatsu Univ.), Tomoki Taniguchi, Al Aama Obada, Hakaru Tamukoh, Hiroaki Wagatsuma (Kyutech)
pp. 121 - 128
NC2024-20
An Applicability of the Logit Model to Analyze the Share Ratio Between Railway and Road Transportation in the Logistic Circumstances in Korea
Kazuhito Mine, Ahmad Altaweel (Kyutech), Bo-Young Lee, Han-Na Kim, Jang-Sok Yoon (LRK), Hiroaki Wagatsuma (Kyutech)
pp. 129 - 135
NC2024-21
Proposal of Node Fusion in MLP-Mixer
Shogo Taneda, Yukari Yamauchi (NU)
pp. 136 - 139
NC2024-22
Self-Organizing Method for Word Embedding
Hongyi Zhang, Yukari Yamauchi (NU)
pp. 140 - 145
NC2024-23
A Method to Investigate Joint Load Reduction by using Assistive Devices with Flexible Bodies Focusing on Nonlinear Elastic Force Investigated by fMBD Inverse Dynamic Analysis.
Shintaro Kasai, Hiroaki Wagatsuma (Kyutech)
pp. 146 - 153
NC2024-24
An Ontology-Based Hierarchy to Analyze a Common Impression and Individual Differences in Natural Language Descriptions in Image Annotation Analyses
Kosei Shibata, Wataru Oshiumi (Kyutech), Masayuki Fujiwara (Komatsu-U), Satoshi Nishida (NICT), Hiroaki Wagatsuma (Kyutech)
pp. 154 - 160
NC2024-25
Ghost Octave Convolution
Riku Kiuchi, Yuki Suzuki, Yukari Yamauchi (NU)
pp. 161 - 164
NC2024-26
Gradually Growing SparseNet
Takumi Nakamura, Shogo Taneda, Yukari Yamauchi (NU)
pp. 165 - 168
NC2024-27
(See Japanese page.)
pp. 169 - 173
NC2024-28
(See Japanese page.)
pp. 174 - 177
NC2024-29
(See Japanese page.)
pp. 178 - 181
NC2024-30
Oscillation-driven reservoir computing for long-term timing/chaotic time-series prediction
Yuji Kawai (Osaka Univ.), Takashi Morita (Chubu Univ.), Park Jihoon (NICT/Osaka Univ.), Minoru Asada (IPUT/Osaka Univ./NICT/Chubu Univ.)
pp. 182 - 187
NC2024-31
Hierarchical reservoir computing model with circle topology for time series prediction and anomaly detection
Wenkai Yu, Satoshi Moriya, Hideaki Yamamoto, Shigeo Sato (Tohoku Univ)
p. 188
Note: Each article is a technical report without peer review, and its polished version will be published elsewhere.