Yoshitatsu Matsuda

Orcid: 0000-0002-0056-0185

According to our database1, Yoshitatsu Matsuda authored at least 48 papers between 2001 and 2024.

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

Timeline

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Bibliography

2024
Efficient Estimation of Unique Components in Independent Component Analysis by Matrix Representation.
CoRR, 2024

2022
Averaging Solution of Differential Equations as Value for Argumentation Graph with Similarity.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022

Improvements of a Hybrid Syllabus Search Tool by Syllabus-related Heuristics.
Proceedings of the IEEE Frontiers in Education Conference, 2022

2021
Analysis of Computer Science Textbooks by Topic Modeling and Dynamic Time Warping.
Proceedings of the 2021 IEEE International Conference on Engineering, 2021

Cost-based Framework for Natural Language Argumentation Analysis.
Proceedings of the 19th International Conference on Information Technology Based Higher Education and Training, 2021

A Proposal for a Hybrid Syllabus Search Tool that Combines Keyword Search and Content Based Classification.
Proceedings of the IEEE Global Engineering Education Conference, 2021

2020
Optimization of Search Space for Finding Very Short Lattice Vectors.
Proceedings of the Advances in Information and Computer Security, 2020

2019
Investigation on University Websites for Semi-automated Syllabus Crawling.
Proceedings of the IEEE Frontiers in Education Conference, 2019

Efficient Estimation of Number of Short Lattice Vectors in Search Space under Randomness Assumption.
Proceedings of the 6th on ASIA Public-Key Cryptography Workshop, 2019

2018
A Unifying Objective Function of Independent Component Analysis for Ordering Sources by Non-Gaussianity.
IEEE Trans. Neural Networks Learn. Syst., 2018

Curriculum Analysis of Computer Science Departments by Simplified, Supervised LDA.
J. Inf. Process., 2018

Estimation of the Success Probability of Random Sampling by the Gram-Charlier Approximation.
IACR Cryptol. ePrint Arch., 2018

2017
Discovery of Interconnection Among Knowledge Areas of Standard Computer Science Curricula by a Data Science Approach.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Efficient Optimization of the Adaptive ICA Function with Estimating the Number of Non-Gaussian Sources.
Proceedings of the Latent Variable Analysis and Signal Separation, 2017

A web-based curriculum engineering tool for investigating syllabi in topic space of standard computer science curricula.
Proceedings of the 2017 IEEE Frontiers in Education Conference, 2017

2016
User Location Prediction by Diffusion-Type Estimation Using Location-Based SNS Check-in Data.
Proceedings of the 2016 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2016

Adaptive objective function of ICA by Gaussian approximation in second-order polynomial feature space.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Gram-Schmidt Orthonormalization to the Adaptive ICA Function for Fixing the Permutation Ambiguity.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

2015
Discovery of Regular and Irregular Spatio-Temporal Patterns from Location-Based SNS by Diffusion-Type Estimation.
IEICE Trans. Inf. Syst., 2015

Curriculum analysis of CS departments based on CS2013 by simplified, supervised LDA.
Proceedings of the Fifth International Conference on Learning Analytics And Knowledge, 2015

Discovery of localized spatio-temporal patterns from location-based SNS by clustering users.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Objective Function of ICA with Smooth Estimation of Kurtosis.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

2014
Improvement of difficulty estimation of personalized teaching material generator by JACET.
Proceedings of the 2014 Information Technology Based Higher Education and Training, 2014

Discovery of Spatio-Temporal Patterns from Foursquare by Diffusion-type Estimation and ICA.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

2013
Ensemble Joint Approximate Diagonalization by an Information Theoretic Approach.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

2012
Global Mapping Analysis: Stochastic Gradient Algorithm in Multidimensional Scaling.
IEICE Trans. Inf. Syst., 2012

A Robust Objective Function of Joint Approximate Diagonalization.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

2011
An adaptive threshold in joint approximate diagonalization by assuming exponentially distributed errors.
Neurocomputing, 2011

An Information Theoretic Approach to Joint Approximate Diagonalization.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

2010
Analysis of computer science related curriculum on LDA and Isomap.
Proceedings of the 15th Annual SIGCSE Conference on Innovation and Technology in Computer Science Education, 2010

A probabilistic framework for joint approximate diagonalization.
Proceedings of the International Joint Conference on Neural Networks, 2010

Partial Extraction of Edge Filters by Cumulant-Based ICA under Highly Overcomplete Model.
Proceedings of the Neural Information Processing. Models and Applications, 2010

2009
Linear Multilayer ICA Using Adaptive PCA.
Neural Process. Lett., 2009

A simple overcomplete ICA algorithm by non-orthogonal pair optimizations.
Proceedings of the International Joint Conference on Neural Networks, 2009

An Adaptive Threshold in Joint Approximate Diagonalization by the Information Criterion.
Proceedings of the Neural Information Processing, 16th International Conference, 2009

Joint Approximate Diagonalization Utilizing AIC-Based Decision in the Jacobi Method.
Proceedings of the Artificial Neural Networks, 2009

2008
A connection-limited neural network by InfoMax and InfoMin.
Proceedings of the International Joint Conference on Neural Networks, 2008

An Overcomplete ICA Algorithm by InfoMax and InfoMin.
Proceedings of the Artificial Neural Networks, 2008

2007
Linear Multilayer ICA Generating Hierarchical Edge Detectors.
Neural Comput., 2007

Extraction of Approximate Independent Components from Large Natural Scenes.
Proceedings of the Neural Information Processing, 14th International Conference, 2007

2006
A Fixed-Point Algorithm of Topographic ICA.
Proceedings of the Artificial Neural Networks, 2006

The InfoMin Principle for ICA and Topographic Mappings.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

2005
An efficient MDS-based topographic mapping algorithm.
Neurocomputing, 2005

An Efficient MDS Algorithm for the Analysis of Massive Document Collections.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005

2004
Linear Multilayer Independent Component Analysis for Large Natural Scenes.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Linear Multilayer Independent Component Analysis Using Stochastic Gradient Algorithm.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

2003
The InfoMin Criterion: An Information Theoretic Unifying Objective Function for Topographic Mappings.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

2001
Global Mapping Analysis: Stochastic Approximation for Multidimensional Scaling.
Int. J. Neural Syst., 2001


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