Shin Ishii

According to our database1, Shin Ishii authored at least 172 papers between 1995 and 2021.

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

Timeline

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Bibliography

2021
A Meta-Q-Learning Approach to Discriminative Correlation Filter based Visual Tracking.
J. Intell. Robotic Syst., 2021

EEGFuseNet: Hybrid Unsupervised Deep Feature Characterization and Fusion for High-Dimensional EEG with An Application to Emotion Recognition.
CoRR, 2021

2020
Mu-net: Multi-scale U-net for two-photon microscopy image denoising and restoration.
Neural Networks, 2020

Computational Characteristics of the Striatal Dopamine System Described by Reinforcement Learning With Fast Generalization.
Frontiers Comput. Neurosci., 2020

Modularized Predictive Coding-Based Online Motion Synthesis Combining Environmental Constraints and Motion-Capture Data.
IEEE Access, 2020

2019
PAT - Probabilistic Axon Tracking for Densely Labeled Neurons in Large 3-D Micrographs.
IEEE Trans. Medical Imaging, 2019

Noise-resistant developmental reproducibility in vertebrate somite formation.
PLoS Comput. Biol., 2019

Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

An unsupervised EEG decoding system for human emotion recognition.
Neural Networks, 2019

Semi-supervised deep learning of brain tissue segmentation.
Neural Networks, 2019

Constrained Deep Q-Learning Gradually Approaching Ordinary Q-Learning.
Frontiers Neurorobotics, 2019

MarmoNet: a pipeline for automated projection mapping of the common marmoset brain from whole-brain serial two-photon tomography.
CoRR, 2019

Online motion synthesis framework using a simple mass model based on predictive coding.
Proceedings of the 18th annual ACM SIGGRAPH/Eurographics Symposium on Computer Animation, 2019

Brain Dynamics Encoding from Visual Input during Free Viewing of Natural Videos.
Proceedings of the International Joint Conference on Neural Networks, 2019

2018
Identification of animal behavioral strategies by inverse reinforcement learning.
PLoS Comput. Biol., 2018

Inverse tissue mechanics of cell monolayer expansion.
PLoS Comput. Biol., 2018

Characterization of electroencephalography signals for estimating saliency features in videos.
Neural Networks, 2018

Binary classifiers ensemble based on Bregman divergence for multi-class classification.
Neurocomputing, 2018

Efficient Diverse Ensemble for Discriminative Co-Tracking.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Constructing a meta-tracker using Dropout to imitate the behavior of an arbitrary black-box tracker.
Neural Networks, 2017

Neural Sequence Model Training via $α$-divergence Minimization.
CoRR, 2017

Active discriminative tracking using collective memory.
Proceedings of the Fifteenth IAPR International Conference on Machine Vision Applications, 2017

Efficient asymmetric co-tracking using uncertainty sampling.
Proceedings of the 2017 IEEE International Conference on Signal and Image Processing Applications, 2017

Estimation of the Change of Agents Behavior Strategy Using State-Action History.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

Individual Identification by Resting-State EEG Using Common Dictionary Learning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

Efficient Version-Space Reduction for Visual Tracking.
Proceedings of the 14th Conference on Computer and Robot Vision, 2017

Active collaborative ensemble tracking.
Proceedings of the 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2017

2016
Uncertainty-Dependent Extinction of Fear Memory in an Amygdala-mPFC Neural Circuit Model.
PLoS Comput. Biol., 2016

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

An occlusion-aware particle filter tracker to handle complex and persistent occlusions.
Comput. Vis. Image Underst., 2016

Distributional Smoothing by Virtual Adversarial Examples.
Proceedings of the 4th International Conference on Learning Representations, 2016

Data-Driven Probabilistic Occlusion Mask to Promote Visual Tracking.
Proceedings of the 13th Conference on Computer and Robot Vision, 2016

Robust discriminative tracking via query-by-bagging.
Proceedings of the 13th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2016

2015
Efficient Monte Carlo Image Analysis for the Location of Vascular Entity.
IEEE Trans. Medical Imaging, 2015

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

The State-of-the-Art in Handling Occlusions for Visual Object Tracking.
IEICE Trans. Inf. Syst., 2015

Deep learning of fMRI big data: a novel approach to subject-transfer decoding.
CoRR, 2015

Principal Sensitivity Analysis.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Expanding histogram of colors with gridding to improve tracking accuracy.
Proceedings of the 14th IAPR International Conference on Machine Vision Applications, 2015

Inverse Reinforcement Learning Based on Behaviors of a Learning Agent.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Computational Complexity Reduction for Functional Connectivity Estimation in Large Scale Neural Network.
Proceedings of the Neural Information Processing - 22nd International Conference, 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
A Statistical Method of Identifying Interactions in Neuron-Glia Systems Based on Functional Multicell Ca2+ Imaging.
PLoS Comput. Biol., 2014

Decoding spatial attention by using cortical currents estimated from electroencephalography with near-infrared spectroscopy prior information.
NeuroImage, 2014

Spiking network simulation code for petascale computers.
Frontiers Neuroinformatics, 2014

Modeling of human velocity habituation for a robotic wheelchair.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Efficient Metropolis-Hasting Image Analysis for the Location of Vascular Entity.
Proceedings of the Pattern Recognition - 36th German Conference, 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

2013
Microscopic image restoration based on tensor factorization of rotated patches.
Artif. Life Robotics, 2013

A waypoint-based framework in brain-controlled smart home environments: Brain interfaces, domotics, and robotics integration.
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

Fast Approximation Method for Gaussian Process Regression Using Hash Function for Non-uniformly Distributed Data.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013

2012
A State-Space Modeling Approach for Localization of Focal Current Sources From MEG.
IEEE Trans. Biomed. Eng., 2012

Asymptotic analysis of value prediction by well-specified and misspecified models.
Neural Networks, 2012

Supercomputers Ready for Use as Discovery Machines for Neuroscience.
Frontiers Neuroinformatics, 2012

A Unified Framework of Binary Classifiers Ensemble for Multi-class Classification.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Control of a Free-Falling Cat by Policy-Based Reinforcement Learning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

2011
Incremental State Aggregation for Value Function Estimation in Reinforcement Learning.
IEEE Trans. Syst. Man Cybern. Part B, 2011

A multiphysical model of cell migration integrating reaction-diffusion, membrane and cytoskeleton.
Neural Networks, 2011

Multi-scale, multi-modal neural modeling and simulation.
Neural Networks, 2011

Ternary Bradley-Terry model-based decoding for multi-class classification and its extensions.
Mach. Learn., 2011

Generalized TD Learning.
J. Mach. Learn. Res., 2011

Bayesian Normalized Gaussian Network and Hierarchical Model Selection Method.
Intell. Autom. Soft Comput., 2011

Motion Compensated X-ray CT Algorithm for Moving Objects.
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

2010
Sparse Bayesian Learning of Filters for Efficient Image Expansion.
IEEE Trans. Image Process., 2010

Hierarchical rule switching in prefrontal cortex.
NeuroImage, 2010

Bayesian image superresolution and hidden variable modeling.
J. Syst. Sci. Complex., 2010

Visual attention model involving feature-based inhibition of return.
Artif. Life Robotics, 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

Bayesian X-ray computed tomography using material class knowledge.
Proceedings of the IEEE International Conference on Acoustics, 2010

Noise-Induced Collective Migration for Neural Crest Cells.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

Hidden Markov Model for Human Decision Process in a Partially Observable Environment.
Proceedings of the Artificial Neural Networks, 2010

2009
Optimal Aggregation of Binary Classifiers for Multiclass Cancer Diagnosis Using Gene Expression Profiles.
IEEE ACM Trans. Comput. Biol. Bioinform., 2009

Learning a multi-dimensional companding function for lossy source coding.
Neural Networks, 2009

Superresolution with compound Markov random fields via the variational EM algorithm.
Neural Networks, 2009

A Multiclass Classification Method Based on Decoding of Binary Classifiers.
Neural Comput., 2009

Solo instrumental music analysis using the source-filter model as a sound production model considering temporal dynamics.
Neural Comput. Appl., 2009

Adaptive particle allocation for multifocal visual attention based on particle filtering.
Artif. Life Robotics, 2009

Optimal Online Learning Procedures for Model-Free Policy Evaluation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

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

Learning of Go Board State Evaluation Function by Artificial Neural Network.
Proceedings of the Neural Information Processing, 16th International Conference, 2009

Robust Approximation in Decomposed Reinforcement Learning.
Proceedings of the Neural Information Processing, 16th International Conference, 2009

Superresolution from Occluded Scenes.
Proceedings of the Neural Information Processing, 16th International Conference, 2009

Learning color image expansion filters.
Proceedings of the International Conference on Image Processing, 2009

An Additive Reinforcement Learning.
Proceedings of the Artificial Neural Networks, 2009

2008
Quantification of Local Morphodynamics and Local GTPase Activity by Edge Evolution Tracking.
PLoS Comput. Biol., 2008

Virtual Force/Tactile Sensors for Interactive Machines Using the User's Biological Signals.
Adv. Robotics, 2008

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

Adaptive control of a looper-like robot based on the CPG-actor-critic method.
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

On the Synchrony of Morphological and Molecular Signaling Events in Cell Migration.
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

A semiparametric statistical approach to model-free policy evaluation.
Proceedings of the Machine Learning, 2008

A Continuous Internal-State Controller for Partially Observable Markov Decision Processes.
Proceedings of the Artificial Neural Networks, 2008

Self-organized Reinforcement Learning Based on Policy Gradient in Nonstationary Environments.
Proceedings of the Artificial Neural Networks, 2008

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

Reinforcement learning for a biped robot based on a CPG-actor-critic method.
Neural Networks, 2007

Model-Based Reinforcement Learning for Partially Observable Games with Sampling-Based State Estimation.
Neural Comput., 2007

Parameter estimation for von Mises-Fisher distributions.
Comput. Stat., 2007

Heterogeneous Component Analysis.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

A probabilistic decoding approach to multi-class classification.
Proceedings of the International Joint Conference on Neural Networks, 2007

Estimation of the Source-Filter Model Using Temporal Dynamics.
Proceedings of the International Joint Conference on Neural Networks, 2007

Quantitative Morphodynamic Analysis of Time-Lapse Imaging by Edge Evolution Tracking.
Proceedings of the Neural Information Processing, 14th International Conference, 2007

Visual Tracking Achieved by Adaptive Sampling from Hierarchical and Parallel Predictions.
Proceedings of the Neural Information Processing, 14th International Conference, 2007

Optimization of Parametric Companding Function for an Efficient Coding.
Proceedings of the Neural Information Processing, 14th International Conference, 2007

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

Reinforcement Learning for Cooperative Actions in a Partially Observable Multi-agent System.
Proceedings of the Artificial Neural Networks, 2007

Edge-Preserving Bayesian Image Superresolution Based on Compound Markov Random Fields.
Proceedings of the Artificial Neural Networks, 2007

Multiclass classification as a decoding problem.
Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2007

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

2006
Reinforcement learning for quasi-passive dynamic walking of an unstable biped robot.
Robotics Auton. Syst., 2006

Switching particle filters for efficient visual tracking.
Robotics Auton. Syst., 2006

Stochastic resonance with differential code in feedforward network with intra-layer random connections.
Neural Networks, 2006

The role of short-term depression in sustained neural activity in the prefrontal cortex: A simulation study.
Neural Networks, 2006

Reinforcement Learning: Machine Learning and Natural Learning.
New Gener. Comput., 2006

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

Semi-supervised discovery of differential genes.
BMC Bioinform., 2006

Fast and Stable Learning of Quasi-Passive Dynamic Walking by an Unstable Biped Robot based on Off-Policy Natural Actor-Critic.
Proceedings of the 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006

Semi-supervised Significance Score of Differential Gene Expressions.
Proceedings of the Artificial Neural Networks, 2006

Feature Extraction for Decision-Theoretic Planning in Partially Observable Environments.
Proceedings of the Artificial Neural Networks, 2006

2005
Nonlinear and Noisy Extension of Independent Component Analysis: Theory and Its Application to a Pitch Sensation Model.
Neural Comput., 2005

A Reinforcement Learning Scheme for a Partially-Observable Multi-Agent Game.
Mach. Learn., 2005

Off-Policy Natural Policy Gradient Method for a Biped Walking Using a CPG Controller.
J. Robotics Mechatronics, 2005

Model-based reinforcement learning: a computational model and an fMRI study.
Neurocomputing, 2005

Acrobot control by learning the switching of multiple controllers.
Artif. Life Robotics, 2005

On-line learning of a feedback controller for quasi-passive-dynamic walking by a stochastic policy gradient method.
Proceedings of the 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005

Multi-class Pattern Classification Based on a Probabilistic Model of Combining Binary Classifiers.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

An Off-Policy Natural Policy Gradient Method for a Partial Observable Markov Decision Process.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

Model-based reinforcement learning for a multi-player card game with partial observability.
Proceedings of the 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2005

Multi-Scale Clustering for Gene Expression Profiling Data.
Proceedings of the Fifth IEEE International Symposium on Bioinformatic and Bioengineering (BIBE 2005), 2005

2004
Temporal Reasoning about Two Concurrent Sequences of Events.
SIAM J. Comput., 2004

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

Self-organization of delay lines by spike-time-dependent learning.
Neurocomputing, 2004

Reinforcement learning for a snake-like robot controlled by a central pattern generator.
Proceedings of the 2004 IEEE Conference on Robotics, Automation and Mechatronics, 2004

Natural Policy Gradient Reinforcement Learning for a CPG Control of a Biped Robot.
Proceedings of the Parallel Problem Solving from Nature, 2004

Switching Particle Filters for Efficient Real-time Visual Tracking.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Reinforcement Learning for CPG-Driven Biped Robot.
Proceedings of the Nineteenth National Conference on Artificial Intelligence, 2004

2003
Variational Bayes method for Mixture of Principal Component Analyzers.
Systems and Computers in Japan, 2003

A Bayesian missing value estimation method for gene expression profile data.
Bioinform., 2003

A reinforcement learning scheme for a multi-agent card game.
Proceedings of the IEEE International Conference on Systems, 2003

System Identification Based on Online Variational Bayes Method and Its Application to Reinforcement Learning.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

Prior Hyperparameters in Bayesian PCA.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

2002
A multiagent reinforcement learning method based on the model inference of the other agents.
Systems and Computers in Japan, 2002

Control of exploitation-exploration meta-parameter in reinforcement learning.
Neural Networks, 2002

Doubly constrained network for combinatorial optimization.
Neurocomputing, 2002

Clustering of Gene Expression Data by Mixture of PCA Models.
Proceedings of the Artificial Neural Networks, 2002

Hierarchical Model Selection for NGnet Based on Variational Bayes Inference.
Proceedings of the Artificial Neural Networks, 2002

Reinforcement Learning for Biped Locomotion.
Proceedings of the Artificial Neural Networks, 2002

Missing Value Estimation Using Mixture of PCAs.
Proceedings of the Artificial Neural Networks, 2002

2001
Application of reinforcement learning based on on-line EM algorithm to balancing of acrobot.
Systems and Computers in Japan, 2001

Reconstruction of chaotic dynamics by on-line EM algorithm.
Neural Networks, 2001

Gaussian Process Approach to Spiking Neurons for Inhomogeneous Poisson Inputs.
Neural Comput., 2001

Multiagent reinforcement learning applied to a chase problem in a continuous world.
Artif. Life Robotics, 2001

On-Line Learning Methods for Gaussian Processes.
Proceedings of the Artificial Neural Networks, 2001

Resonance of a Stochastic Spiking Neuron Mimicking the Hodgkin-Huxley Model.
Proceedings of the Artificial Neural Networks, 2001

Gaussian Process Approach to Stochastic Spiking Neurons with Reset.
Proceedings of the Artificial Neural Networks, 2001

A multi-agent reinforcement learning method for a partially-observable competitive game.
Proceedings of the Fifth International Conference on Autonomous Agents, 2001

2000
Analog <i>lambda</i>-opt approach to quadratic assignment problem.
Systems and Computers in Japan, 2000

On-line EM Algorithm for the Normalized Gaussian Network.
Neural Comput., 2000

-Opt Neural Approaches to Quadratic Assignment Problems.
Neural Comput., 2000

On-Line EM Reinforcement Learning.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Multi-Agent Reinforcement Learning: An Approach Based on the Other Agent's Internal Model.
Proceedings of the 4th International Conference on Multi-Agent Systems, 2000

Reconstruction of chaotic dynamics using a noise-robust embedding method.
Proceedings of the IEEE International Conference on Acoustics, 2000

1998
Constrained neural approaches to quadratic assignment problems.
Neural Networks, 1998

Reinforcement Learning Based on On-Line EM Algorithm.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

Strategy Acquisition for the Game "Othello" Based on Reinforcement Learning.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998

On-Line EM Algorithm for Mixture of Local Experts.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998

Self-Organizing Network Learning of Sub-Millisecond Temporal Coded Information.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998

1997
Chaotic Potts Spin Model for Combinatorial Optimization Problems.
Neural Networks, 1997

Eliminating Spurious Memories in a Network of Chaotic Elements.
J. Intell. Fuzzy Syst., 1997

1996
A network of chaotic elements for information processing.
Neural Networks, 1996

1995
Chaotic Potts spin.
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995


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