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Akisato Kimura
Akisato Kimura
NTT Corporation
Adresse e-mail validée de ieee.org - Page d'accueil
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Saliency-based video segmentation with graph cuts and sequentially updated priors
K Fukuchi, K Miyazato, A Kimura, S Takagi, J Yamato
2009 IEEE International Conference on Multimedia and Expo, 638-641, 2009
1632009
Very quick audio searching: introducing global pruning to the time-series active search
A Kimura, K Kashino, T Kurozumi, H Murase
Acoustics, Speech, and Signal Processing, 2001. Proceedings.(ICASSP'01 …, 2001
102*2001
Change-Point Detection with Feature Selection in High-Dimensional Time-Series Data
M Yamada, A Kimura, F Naya, H Sawada
International Joint Conference on Artificial Intelligence, 2013
942013
Clustering-based anomaly detection in multi-view data
A Marcos Alvarez, M Yamada, A Kimura, T Iwata
Proceedings of the 22nd ACM international conference on Information …, 2013
872013
Few-shot learning of neural networks from scratch by pseudo example optimization
A Kimura, Z Ghahramani, K Takeuchi, T Iwata, N Ueda
British Machine Vision Conference (BMVC), 2018
742018
Creating stories: Social curation of Twitter messages
K Duh, T Hirao, A Kimura, K Ishiguro, T Iwata, CMA Yeung
Proceedings of the International AAAI Conference on Web and Social Media 6 …, 2012
722012
Non-negative multiple tensor factorization
K Takeuchi, R Tomioka, K Ishiguro, A Kimura, H Sawada
2013 IEEE 13th International Conference on Data Mining, 1199-1204, 2013
702013
Computational models of human visual attention and their implementations: A survey
A Kimura, R Yonetani, T Hirayama
IEICE TRANSACTIONS on Information and Systems 96 (3), 562-578, 2013
692013
SemiCCA: Efficient semi-supervised learning of canonical correlations
A Kimura, H Kameoka, M Sugiyama, T Nakano, E Maeda, H Sakano, ...
Pattern Recognition (ICPR), 2010 20th International Conference on, 2933-2936, 2010
672010
A stochastic model of selective visual attention with a dynamic Bayesian network
D Pang, A Kimura, T Takeuchi, J Yamato, K Kashino
2008 IEEE International Conference on Multimedia and Expo, 1073-1076, 2008
67*2008
Non-Negative Multiple Matrix Factorization
K Takeuchi, K Ishiguro, A Kimura, H Sawada
International Joint Conference on Artificial Intelligence, 2013
462013
Deep dynamic time warping: End-to-end local representation learning for online signature verification
X Wu, A Kimura, BK Iwana, S Uchida, K Kashino
2019 International conference on document analysis and recognition (ICDAR …, 2019
412019
Rectangular tiling process
M Nakano, K Ishiguro, A Kimura, T Yamada, N Ueda
International Conference on Machine Learning, 361-369, 2014
362014
Towards automatic image understanding and mining via social curation
K Ishiguro, A Kimura, K Takeuchi
2012 IEEE 12th International Conference on Data Mining, 906-911, 2012
352012
A quick search method for audio signals based on a piecewise linear representation of feature trajectories
A Kimura, K Kashino, T Kurozumi, H Murase
IEEE transactions on audio, speech, and language processing 16 (2), 396-407, 2008
34*2008
The hyper suprime-cam SSP transient survey in COSMOS: Overview
N Yasuda, M Tanaka, N Tominaga, J Jiang, TJ Moriya, T Morokuma, ...
Publications of the Astronomical Society of Japan 71 (4), 74, 2019
322019
Real-time estimation of human visual attention with dynamic Bayesian network and MCMC-based particle filter
K Miyazato, A Kimura, S Takagi, J Yamato
2009 IEEE International Conference on Multimedia and Expo, 250-257, 2009
31*2009
Trilingual semantic embeddings of visually grounded speech with self-attention mechanisms
Y Ohishi, A Kimura, T Kawanishi, K Kashino, D Harwath, J Glass
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
302020
Fully Automatic Extraction of Salient Objects from Videos in Near Real Time
K Akamine, K Fukuchi, A Kimura, S Takagi
The Computer Journal, 2010
292010
Prewarping Siamese network: Learning local representations for online signature verification
X Wu, A Kimura, S Uchida, K Kashino
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
242019
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