Остановите войну!
for scientists:
default search action
Kenji Yamanishi
- > Home > Persons > Kenji Yamanishi
Publications
- 2024
- [i22]Kento Urano, Ryo Yuki, Kenji Yamanishi:
Clustering Change Sign Detection by Fusing Mixture Complexity. CoRR abs/2403.18269 (2024) - 2023
- [j37]Kenji Yamanishi, So Hirai:
Detecting signs of model change with continuous model selection based on descriptive dimensionality. Appl. Intell. 53(22): 26454-26471 (2023) - [j36]Ryo Yuki, Yuichi Ike, Kenji Yamanishi:
Dimensionality selection for hyperbolic embeddings using decomposed normalized maximum likelihood code-length. Knowl. Inf. Syst. 65(12): 5601-5634 (2023) - [j35]Chuan-hao Lin, Linchuan Xu, Kenji Yamanishi:
Network Change Detection Based on Random Walk in Latent Space. IEEE Trans. Knowl. Data Eng. 35(6): 6136-6147 (2023) - [c85]Yanjin Li, Linchuan Xu, Kenji Yamanishi:
GMMDA: Gaussian Mixture Modeling of Graph in Latent Space for Graph Data Augmentation. ICDM 2023: 319-328 - [c84]Shintaro Fukushima, Kenji Yamanishi:
Balancing Summarization and Change Detection in Graph Streams. ICDM 2023: 1025-1030 - [c83]Ryo Yuki, Atsushi Suzuki, Kenji Yamanishi:
Dimensionality and Curvature Selection of Graph Embedding using Decomposed Normalized Maximum Likelihood Code-Length. ICDM 2023: 1517-1522 - [c82]Atsushi Suzuki, Atsushi Nitanda, Taiji Suzuki, Jing Wang, Feng Tian, Kenji Yamanishi:
Tight and fast generalization error bound of graph embedding in metric space. ICML 2023: 33268-33284 - [c81]Naoki Nishikawa, Yuichi Ike, Kenji Yamanishi:
Adaptive Topological Feature via Persistent Homology: Filtration Learning for Point Clouds. NeurIPS 2023 - [i21]Kenji Yamanishi, So Hirai:
Detecting Signs of Model Change with Continuous Model Selection Based on Descriptive Dimensionality. CoRR abs/2302.12127 (2023) - [i20]Atsushi Suzuki, Atsushi Nitanda, Taiji Suzuki, Jing Wang, Feng Tian, Kenji Yamanishi:
Tight and fast generalization error bound of graph embedding in metric space. CoRR abs/2305.07971 (2023) - [i19]Naoki Nishikawa, Yuichi Ike, Kenji Yamanishi:
Adaptive Topological Feature via Persistent Homology: Filtration Learning for Point Clouds. CoRR abs/2307.09259 (2023) - [i18]Shintaro Fukushima, Kenji Yamanishi:
Balancing Summarization and Change Detection in Graph Streams. CoRR abs/2311.18694 (2023) - 2022
- [c80]Ryo Yuki, Yuichi Ike, Kenji Yamanishi:
Dimensionality Selection of Hyperbolic Graph Embeddings using Decomposed Normalized Maximum Likelihood Code-Length. ICDM 2022: 666-675 - [c79]Kohei Ueda, Yuichi Ike, Kenji Yamanishi:
Change Detection with Probabilistic Models on Persistence Diagrams. ICDM 2022: 1191-1196 - 2021
- [j33]Jun Huang, Linchuan Xu, Kun Qian, Jing Wang, Kenji Yamanishi:
Multi-label learning with missing and completely unobserved labels. Data Min. Knowl. Discov. 35(3): 1061-1086 (2021) - [j30]Atsushi Suzuki, Kenji Yamanishi:
Fourier-Analysis-Based Form of Normalized Maximum Likelihood: Exact Formula and Relation to Complex Bayesian Prior. IEEE Trans. Inf. Theory 67(9): 6164-6178 (2021) - [j29]Linchuan Xu, Jing Wang, Lifang He, Jiannong Cao, Xiaokai Wei, Philip S. Yu, Kenji Yamanishi:
MixSp: A Framework for Embedding Heterogeneous Information Networks With Arbitrary Number of Node and Edge Types. IEEE Trans. Knowl. Data Eng. 33(6): 2627-2639 (2021) - [c78]So Hirai, Kenji Yamanishi:
Detecting Gradual Structure Changes of Non-parametric Distributions via Kernel Complexity. IEEE BigData 2021: 17-27 - [c77]Shintaro Fukushima, Ryoga Kanai, Kenji Yamanishi:
Graph Summarization with Latent Variable Probabilistic Models. COMPLEX NETWORKS 2021: 428-440 - [c76]Atsushi Suzuki, Atsushi Nitanda, Jing Wang, Linchuan Xu, Kenji Yamanishi, Marc Cavazza:
Generalization Error Bound for Hyperbolic Ordinal Embedding. ICML 2021: 10011-10021 - [c75]Linchuan Xu, Ryo Asaoka, Taichi Kiwaki, Hiroshi Murata, Yuri Fujino, Kenji Yamanishi:
PAMI: A Computational Module for Joint Estimation and Progression Prediction of Glaucoma. KDD 2021: 3826-3834 - [c74]Atsushi Suzuki, Atsushi Nitanda, Jing Wang, Linchuan Xu, Kenji Yamanishi, Marc Cavazza:
Generalization Bounds for Graph Embedding Using Negative Sampling: Linear vs Hyperbolic. NeurIPS 2021: 1243-1255 - [i17]Atsushi Suzuki, Atsushi Nitanda, Jing Wang, Linchuan Xu, Marc Cavazza, Kenji Yamanishi:
Generalization Error Bound for Hyperbolic Ordinal Embedding. CoRR abs/2105.10475 (2021) - 2020
- [j28]Taito Lee, Shin Matsushima, Kenji Yamanishi:
Grafting for combinatorial binary model using frequent itemset mining. Data Min. Knowl. Discov. 34(1): 101-123 (2020) - [c73]Shintaro Fukushima, Kenji Yamanishi:
Detecting Hierarchical Changes in Latent Variable Models. ICDM 2020: 1028-1033 - [c72]Jun Huang, Linchuan Xu, Jing Wang, Lei Feng, Kenji Yamanishi:
Discovering Latent Class Labels for Multi-Label Learning. IJCAI 2020: 3058-3064 - [i15]Shintaro Fukushima, Atsushi Nitanda, Kenji Yamanishi:
Online Robust and Adaptive Learning from Data Streams. CoRR abs/2007.12160 (2020) - [i14]Kenji Yamanishi, Linchuan Xu, Ryo Yuki, Shintaro Fukushima, Chuan-hao Lin:
Change Sign Detection with Differential MDL Change Statistics and its Applications to COVID-19 Pandemic Analysis. CoRR abs/2007.15179 (2020) - [i13]Linchuan Xu, Jun Huang, Atsushi Nitanda, Ryo Asaoka, Kenji Yamanishi:
A Novel Global Spatial Attention Mechanism in Convolutional Neural Network for Medical Image Classification. CoRR abs/2007.15897 (2020) - [i11]Shintaro Fukushima, Kenji Yamanishi:
Detecting Hierarchical Changes in Latent Variable Models. CoRR abs/2011.09465 (2020) - 2019
- [j27]Kenji Yamanishi, Tianyi Wu, Shinya Sugawara, Makoto Okada:
The decomposed normalized maximum likelihood code-length criterion for selecting hierarchical latent variable models. Data Min. Knowl. Discov. 33(4): 1017-1058 (2019) - [j26]Yunhui Fu, Shin Matsushima, Kenji Yamanishi:
Model Selection for Non-Negative Tensor Factorization with Minimum Description Length. Entropy 21(7): 632 (2019) - [j25]Shintaro Fukushima, Kenji Yamanishi:
Detecting Metachanges in Data Streams from the Viewpoint of the MDL Principle. Entropy 21(12): 1134 (2019) - [j24]So Hirai, Kenji Yamanishi:
Correction to Efficient Computation of Normalized Maximum Likelihood Codes for Gaussian Mixture Models With Its Applications to Clustering. IEEE Trans. Inf. Theory 65(10): 6827-6828 (2019) - [c71]Jing Wang, Atsushi Suzuki, Linchuan Xu, Feng Tian, Liang Yang, Kenji Yamanishi:
Orderly Subspace Clustering. AAAI 2019: 5264-5272 - [c70]Atsushi Suzuki, Jing Wang, Feng Tian, Atsushi Nitanda, Kenji Yamanishi:
Hyperbolic Ordinal Embedding. ACML 2019: 1065-1080 - [c69]Kohei Miyaguchi, Kenji Yamanishi:
Adaptive Minimax Regret against Smooth Logarithmic Losses over High-Dimensional l1-Balls via Envelope Complexity. AISTATS 2019: 3440-3448 - [c68]So Hirai, Kenji Yamanishi:
Detecting Model Changes and their Early Warning Signals Using MDL Change Statistics. IEEE BigData 2019: 84-93 - [c67]Jing Wang, Linchuan Xu, Feng Tian, Atsushi Suzuki, Changqing Zhang, Kenji Yamanishi:
Attributed Subspace Clustering. IJCAI 2019: 3719-3725 - [c66]Yuhui Zheng, Linchuan Xu, Taichi Kiwaki, Jing Wang, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi:
Glaucoma Progression Prediction Using Retinal Thickness via Latent Space Linear Regression. KDD 2019: 2278-2286 - 2018
- [j23]Kohei Miyaguchi, Kenji Yamanishi:
High-dimensional penalty selection via minimum description length principle. Mach. Learn. 107(8-10): 1283-1302 (2018) - [j22]Kenji Yamanishi, Shintaro Fukushima:
Model Change Detection With the MDL Principle. IEEE Trans. Inf. Theory 64(9): 6115-6126 (2018) - [j21]Koichi Moriya, Shin Matsushima, Kenji Yamanishi:
Traffic Risk Mining From Heterogeneous Road Statistics. IEEE Trans. Intell. Transp. Syst. 19(11): 3662-3675 (2018) - [c64]So Hirai, Kenji Yamanishi:
Detecting Latent Structure Uncertainty with Structural Entropy. IEEE BigData 2018: 26-35 - [c63]Jing Wang, Feng Tian, Weiwei Liu, Xiao Wang, Wenjie Zhang, Kenji Yamanishi:
Ranking Preserving Nonnegative Matrix Factorization. IJCAI 2018: 2776-2782 - [c62]Atsushi Suzuki, Kenji Yamanishi:
Exact Calculation of Normalized Maximum Likelihood Code Length Using Fourier Analysis. ISIT 2018: 1211-1215 - [c61]Hiroki Sugiura, Taichi Kiwaki, Siamak Yousefi, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi:
Estimating Glaucomatous Visual Sensitivity from Retinal Thickness with Pattern-Based Regularization and Visualization. KDD 2018: 783-792 - [i9]Kohei Miyaguchi, Kenji Yamanishi:
High-dimensional Penalty Selection via Minimum Description Length Principle. CoRR abs/1804.09904 (2018) - [i8]Yosuke Enokida, Atsushi Suzuki, Kenji Yamanishi:
Stable Geodesic Update on Hyperbolic Space and its Application to Poincare Embeddings. CoRR abs/1805.10487 (2018) - [i7]Kohei Miyaguchi, Kenji Yamanishi:
Adaptive Minimax Regret against Smooth Logarithmic Losses over High-Dimensional ε1-Balls via Envelope Complexity. CoRR abs/1810.03825 (2018) - 2017
- [j20]Kohei Miyaguchi, Kenji Yamanishi:
Online detection of continuous changes in stochastic processes. Int. J. Data Sci. Anal. 3(3): 213-229 (2017) - [c60]Ryoya Kaneko, Kohei Miyaguchi, Kenji Yamanishi:
Detecting changes in streaming data with information-theoretic windowing. IEEE BigData 2017: 646-655 - [c59]Tatsuru Kobayashi, Shin Matsushima, Taito Lee, Kenji Yamanishi:
Discovering potential traffic risks in Japan using a supervised learning approach. IEEE BigData 2017: 948-955 - [c57]Tianyi Wu, Shinya Sugawara, Kenji Yamanishi:
Decomposed Normalized Maximum Likelihood Codelength Criterion for Selecting Hierarchical Latent Variable Models. KDD 2017: 1165-1174 - [c56]Toshimitsu Uesaka, Kai Morino, Hiroki Sugiura, Taichi Kiwaki, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi:
Multi-view Learning over Retinal Thickness and Visual Sensitivity on Glaucomatous Eyes. KDD 2017: 2041-2050 - [c55]Kohei Miyaguchi, Shin Matsushima, Kenji Yamanishi:
Sparse Graphical Modeling via Stochastic Complexity. SDM 2017: 723-731 - [i6]So Hirai, Kenji Yamanishi:
An Upper Bound on Normalized Maximum Likelihood Codes for Gaussian Mixture Models. CoRR abs/1709.00925 (2017) - [i5]Taito Lee, Shin Matsushima, Kenji Yamanishi:
Grafting for Combinatorial Boolean Model using Frequent Itemset Mining. CoRR abs/1711.02478 (2017) - 2016
- [c54]Kenji Yamanishi, Kohei Miyaguchi:
Detecting gradual changes from data stream using MDL-change statistics. IEEE BigData 2016: 156-163 - [c53]Kyosuke Tomoda, Kai Morino, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi:
Predicting Glaucomatous Progression with Piecewise Regression Model from Heterogeneous Medical Data. HEALTHINF 2016: 93-104 - [c52]Yoshitaro Yonamoto, Kai Morino, Kenji Yamanishi:
Temporal Network Change Detection Using Network Centralities. DSAA 2016: 51-60 - [c51]Akihiro Demachi, Shin Matsushima, Kenji Yamanishi:
Web Behavior Analysis Using Sparse Non-Negative Matrix Factorization. DSAA 2016: 574-583 - [c50]Taito Lee, Shin Matsushima, Kenji Yamanishi:
Traffic Risk Mining Using Partially Ordered Non-Negative Matrix Factorization. DSAA 2016: 622-631 - [c49]Atsushi Suzuki, Kohei Miyaguchi, Kenji Yamanishi:
Structure Selection for Convolutive Non-negative Matrix Factorization Using Normalized Maximum Likelihood Coding. ICDM 2016: 1221-1226 - [i4]Motohide Higaki, Kai Morino, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi:
Predicting Glaucoma Visual Field Loss by Hierarchically Aggregating Clustering-based Predictors. CoRR abs/1603.07094 (2016) - 2015
- [j18]Shota Saito, Ryota Tomioka, Kenji Yamanishi:
Early detection of persistent topics in social networks. Soc. Netw. Anal. Min. 5(1): 19:1-19:15 (2015) - [c47]Kohei Miyaguchi, Kenji Yamanishi:
On-line detection of continuous changes in stochastic processes. DSAA 2015: 1-9 - [c46]Koichi Moriya, Shin Matsushima, Kenji Yamanishi:
Traffic risk mining from heterogeneous road statistics. DSAA 2015: 1-10 - [c45]Shigeru Maya, Kai Morino, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi:
Discovery of Glaucoma Progressive Patterns Using Hierarchical MDL-Based Clustering. KDD 2015: 1979-1988 - 2014
- [j17]Toshimitsu Takahashi, Ryota Tomioka, Kenji Yamanishi:
Discovering Emerging Topics in Social Streams via Link-Anomaly Detection. IEEE Trans. Knowl. Data Eng. 26(1): 120-130 (2014) - [c44]Shota Saito, Ryota Tomioka, Kenji Yamanishi:
Early detection of persistent topics in social networks. ASONAM 2014: 417-424 - [c43]Shigeru Maya, Kai Morino, Kenji Yamanishi:
Predicting glaucoma progression using multi-task learning with heterogeneous features. IEEE BigData 2014: 261-270 - 2013
- [j16]So Hirai, Kenji Yamanishi:
Efficient Computation of Normalized Maximum Likelihood Codes for Gaussian Mixture Models With Its Applications to Clustering. IEEE Trans. Inf. Theory 59(11): 7718-7727 (2013) - [c38]Zenghan Liang, Ryota Tomioka, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi:
Quantitative Prediction of Glaucomatous Visual Field Loss from Few Measurements. ICDM 2013: 1121-1126 - 2012
- [c33]So Hirai, Kenji Yamanishi:
Detecting changes of clustering structures using normalized maximum likelihood coding. KDD 2012: 343-351 - [i3]So Hirai, Kenji Yamanishi:
Normalized Maximum Likelihood Coding for Exponential Family with Its Applications to Optimal Clustering. CoRR abs/1205.3549 (2012) - 2011
- [c32]Toshimitsu Takahashi, Ryota Tomioka, Kenji Yamanishi:
Discovering Emerging Topics in Social Streams via Link Anomaly Detection. ICDM 2011: 1230-1235 - [c31]So Hirai, Kenji Yamanishi:
Efficient computation of normalized maximum likelihood coding for Gaussian mixtures with its applications to optimal clustering. ISIT 2011: 1031-1035 - [c30]Yasuhiro Urabe, Kenji Yamanishi, Ryota Tomioka, Hiroki Iwai:
Real-Time Change-Point Detection Using Sequentially Discounting Normalized Maximum Likelihood Coding. PAKDD (2) 2011: 185-197 - [i2]Toshimitsu Takahashi, Ryota Tomioka, Kenji Yamanishi:
Discovering Emerging Topics in Social Streams via Link Anomaly Detection. CoRR abs/1110.2899 (2011)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-05-08 20:54 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint