Junichiro Hirayama

According to our database1, Junichiro Hirayama authored at least 26 papers between 2002 and 2018.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2018
Answering Mixed Type Questions about Daily Living Episodes.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Generating an Event Timeline About Daily Activities From a Semantic Concept Stream.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
SPLICE: Fully Tractable Hierarchical Extension of ICA with Pooling.
Proceedings of the 34th International Conference on Machine Learning, 2017

2016
Orthogonal Connectivity Factorization: Interpretable Decomposition of Variability in Correlation Matrices.
Neural Comput., 2016

Sparse and low-rank matrix regularization for learning time-varying Markov networks.
Mach. Learn., 2016

Egocentric Video Search via Physical Interactions.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Learning a common dictionary for subject-transfer decoding with resting calibration.
NeuroImage, 2015

Unifying Blind Separation and Clustering for Resting-State EEG/MEG Functional Connectivity Analysis.
Neural Comput., 2015

Brain-machine interfaces for assistive smart homes: A feasibility study with wearable near-infrared spectroscopy.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
Dynamic connectivity factorization: Interpretable decompositions of non-stationarity.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014

Simultaneous blind separation and clustering of coactivated EEG/MEG sources for analyzing spontaneous brain activity.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Live demonstration: Database-driven artifact detection method for EEG systems with few channels (DAD).
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2014

Database-driven artifact detection method for EEG systems with few channels (DAD).
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2014

2011
Bregman divergence as general framework to estimate unnormalized statistical models.
Proceedings of the UAI 2011, 2011

Structural equations and divisive normalization for energy-dependent component analysis.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2010
Sparse and Low-Rank Estimation of Time-Varying Markov Networks with Alternating Direction Method of Multipliers.
Proceedings of the Neural Information Processing. Theory and Algorithms, 2010

2009
Dynamic Exponential Family Matrix Factorization.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

2008
A probabilistic modeling of MOSAIC learning.
Artif. Life Robotics, 2008

A Closed-Form Estimator of Fully Visible Boltzmann Machines.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Interpreting Dopamine Activities in Stochastic Reward Tasks.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

2007
Markov and Semi-Markov Switching of Source Appearances for Nonstationary Independent Component Analysis.
IEEE Trans. Neural Networks, 2007

Bayesian Collaborative Predictors for General User Modeling Tasks.
Proceedings of the Neural Information Processing, 14th International Conference, 2007

A Probabilistic Model of MOSAIC.
Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2007

2006
Balancing plasticity and stability of on-line learning based on hierarchical Bayesian adaptation of forgetting factors.
Neurocomputing, 2006

2004
Bayesian representation learning in the cortex regulated by acetylcholine.
Neural Networks, 2004

2002
Learning from Human Decision-Making Behaviors - An Application to RoboCup Software Agents.
Proceedings of the Developments in Applied Artificial Intelligence, 2002


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