フォロー
Kun Zhao
Kun Zhao
Boston Consulting Group (Gamma)
確認したメール アドレス: bcg.com - ホームページ
タイトル
引用先
引用先
Multi-stage neural networks with single-sided classifiers for false positive reduction and its evaluation using lung X-ray CT images
M Sakamoto, H Nakano, K Zhao, T Sekiyama
Image Analysis and Processing-ICIAP 2017: 19th International Conference …, 2017
172017
Weighted cascading convolutional neural networks
T Sekiyama, M Sakamoto, H Nakano, K Zhao
US Patent 10,599,978, 2020
152020
Lung nodule classification by the combination of fusion classifier and cascaded convolutional neural networks
M Sakamoto, H Nakano, K Zhao, T Sekiyama
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018
92018
A volume compression scheme based on block division with fast cubic B-spline evaluation
K Zhao, N Sakamoto, K Koyamada
AsiaSim 2012: Asia Simulation Conference 2012, Shanghai, China, October 27 …, 2012
62012
Particle-based volume rendering of remote volume datasets using flowvr
A Lorant, A Ancel, K Zhao, N Sakamoto, K Koyamada, B Raffin
AsiaSim 2012: Asia Simulation Conference 2012, Shanghai, China, October 27 …, 2012
52012
Using interactive particle-based rendering to visualize a large-scale time-varying unstructured volume with mixed cell types
K Zhao, N Sakamoto, K Koyamada
2017 IEEE Pacific Visualization Symposium (PacificVis), 185-189, 2017
42017
INTERACTIVE VISUALIZATION OF LARGE-SCALE 3D SCATTERED DATA FROM A TSUNAMI SIMULATION.
K Zhao, S Naohisa, K Koyamada, S Tanaka, K Murotani, S Koshizuka
International Journal of Industrial Engineering 24 (2), 2017
42017
A Visualization of the Dynamic Behaviors of the Mixture of Water Mass Using Ocean Simulation Data for Northwestern Pacific near Japan
K Zhao, S Nakada, N Sakamoto, K Koyamada, C Bajaj, Y Ishikawa, ...
International Journal of Modeling, Simulation, and Scientific Computing 4, 0
4*
Learning to estimate driver drowsiness from car acceleration sensors using weakly labeled data
T Katsuki, K Zhao, T Yoshizumi
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
32020
Time-varying volume compression in spatio-temporal domain
K Zhao, N Sakamoto, K Koyamada
日本シミュレーション学会英文誌 1 (1), 171-187, 2015
32015
Fused visualization for large-scale time-varying volume data with adaptive particle-based rendering
K Zhao, N Sakamoto, K Koyamada
AsiaSim 2014: 14th International Conference on Systems Simulation …, 2014
32014
A temporal coherence based framework for visualizing time-varying unstructured volume with PBVR
K Zhao, N Sakamoto, K Koyamada
Asian Simulation Conference, 163-174, 2012
32012
Prediction of accident risk based on anomaly detection
K Zhao, T Katsuki, T Yoshizumi
US Patent 11,312,374, 2022
22022
Detection of operation tendency based on anomaly detection
K Zhao, T Katsuki, T Yoshizumi
US Patent App. 16/426,763, 2020
22020
Detection of decline in concentration based on anomaly detection
T Katsuki, K Zhao, T Yoshizumi
US Patent 10,740,634, 2020
22020
Visual analytics for team-based invasion sports with significant events and Markov reward process
K Zhao, T Osogami, T Morimura
arXiv preprint arXiv:1907.01221, 2019
22019
Multivariate probability distribution based sports highlight detection
K Zhao, T Morimura, T Osogami
US Patent 10,839,224, 2020
12020
Optimizing tree-based convolutional neural networks
TD Le, T Sekiyama, K Zhao
US Patent App. 15/903,600, 2018
12018
Optimizing tree-based convolutional neural networks
TD Le, T Sekiyama, K Zhao
US Patent App. 15/617,737, 2018
12018
Modeling fluid simulation with dynamic Boltzmann machine
K Zhao, T Osogami
2017 Winter Simulation Conference (WSC), 4503-4505, 2017
12017
現在システムで処理を実行できません。しばらくしてからもう一度お試しください。
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