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Uehara, Kuniaki
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1

Few-Shot Anomaly Detection Using Deep Generative Models for..:

SATO, Kazuki ; NAKATA, Satoshi ; MATSUBARA, Takashi.
IEICE Transactions on Information and Systems.  E105.D (2022)  2 - p. 436-440 , 2022
Link: https://doi.org/10.1587/..
 
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2

Topology-Aware Flow-Based Point Cloud Generation:

Kimura, Takumi ; Matsubara, Takashi ; Uehara, Kuniaki
IEEE Transactions on Circuits and Systems for Video Technology.  32 (2022)  11 - p. 7967-7982 , 2022
Link: https://doi.org/10.1109/..
 
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3

Exploring Uncertainty Measures for Image-caption Embedding-..:

Hama, Kenta ; Matsubara, Takashi ; Uehara, Kuniaki.
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM).  17 (2021)  2 - p. 1-19 , 2021
Link: https://dl.acm.org/doi/1..
 
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4

ChartPointFlow for Topology-Aware 3D Point Cloud Generation:

, In: Proceedings of the 29th ACM International Conference on Multimedia,
Kimura, Takumi ; Matsubara, Takashi ; Uehara, Kuniaki - p. 1396-1404 , 2021
Link: https://dl.acm.org/doi/1..
 
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5

Exploring Uncertainty Measures for Image-caption Embedding-..:

Hama, Kenta ; Matsubara, Takashi ; Uehara, Kuniaki.
ACM Transactions on Multimedia Computing, Communications, and Applications.  17 (2021)  2 - p. 1-19 , 2021
Link: https://doi.org/10.1145/..
 
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6

Neural Architecture Search for Convolutional Neural Network..:

NAKAI, Kohei ; MATSUBARA, Takashi ; UEHARA, Kuniaki
IEICE Transactions on Information and Systems.  E104.D (2021)  2 - p. 312-321 , 2021
Link: https://doi.org/10.1587/..
 
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7

Att-DARTS: Differentiable Neural Architecture Search for At..:

, In: 2020 International Joint Conference on Neural Networks (IJCNN),
Nakai, Kohei ; Matsubara, Takashi ; Uehara, Kuniaki - p. 1-8 , 2020
Link: https://doi.org/10.1109/..
 
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8

Useful parameters for the motion analysis of facial skin ca..:

Sakai, Shingo ; Takatori, Ruako ; Nomura, Mika.
Journal of Physiological Anthropology.  39 (2020)  1 - p. , 2020
Link: https://doi.org/10.1186/..
 
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9

Deep State-Space Model for Noise Tolerant Skeleton-Based Ac..:

KAWAMURA, Kazuki ; MATSUBARA, Takashi ; UEHARA, Kuniaki
IEICE Transactions on Information and Systems.  E103.D (2020)  6 - p. 1217-1225 , 2020
Link: https://doi.org/10.1587/..
 
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10

Hybrid of Reinforcement and Imitation Learning for Human-Li..:

DOSSA, Rousslan F. J. ; LIAN, Xinyu ; NOMOTO, Hirokazu..
IEICE Transactions on Information and Systems.  E103.D (2020)  9 - p. 1960-1970 , 2020
Link: https://doi.org/10.1587/..
 
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11

Predictable Uncertainty-Aware Unsupervised Deep Anomaly Seg..:

, In: 2019 International Joint Conference on Neural Networks (IJCNN),
Sato, Kazuki ; Hama, Kenta ; Matsubara, Takashi. - p. 1-7 , 2019
Link: https://doi.org/10.1109/..
 
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12

Bayesian estimation and model averaging of convolutional ne..:

Ukai, Kenya ; Matsubara, Takashi ; Uehara, Kuniaki
Nonlinear Theory and Its Applications, IEICE.  10 (2019)  1 - p. 45-59 , 2019
Link: https://doi.org/10.1587/..
 
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13

Asynchronous network of cellular automaton-based neurons fo..:

Matsubara, Takashi ; Uehara, Kuniaki
Nonlinear Theory and Its Applications, IEICE.  9 (2018)  1 - p. 24-35 , 2018
Link: https://doi.org/10.1587/..
 
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14

Structured Deep Generative Model of fMRI Signals for Mental..:

, In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2018; Lecture Notes in Computer Science,
Matsubara, Takashi ; Tashiro, Tetsuo ; Uehara, Kuniaki - p. 258-266 , 2018
Link: https://doi.org/10.1007/..
 
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15

Stock Price Prediction by Deep Neural Generative Model of N..:

MATSUBARA, Takashi ; AKITA, Ryo ; UEHARA, Kuniaki
IEICE Transactions on Information and Systems.  E101.D (2018)  4 - p. 901-908 , 2018
Link: https://doi.org/10.1587/..
 
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