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ORCIDYoshitatsu Matsuda
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2020 – today
- 2024
[i2]Yoshitatsu Matsuda, Kazunori Yamaguch:
Efficient Estimation of Unique Components in Independent Component Analysis by Matrix Representation. CoRR abs/2408.17118 (2024)- 2022
- [c37]Takayuki Sekiya, Yoshitatsu Matsuda, Kazunori Yamaguchi
:
Improvements of a Hybrid Syllabus Search Tool by Syllabus-related Heuristics. FIE 2022: 1-8 - [c36]Kazunori Yamaguchi, Yoshitatsu Matsuda, Yuya Morinaga:
Averaging Solution of Differential Equations as Value for Argumentation Graph with Similarity. KES 2022: 614-623 - 2021
- [c35]Takayuki Sekiya, Tomohiro Tatejima, Yoshitatsu Matsuda, Kazunori Yamaguchi:
A Proposal for a Hybrid Syllabus Search Tool that Combines Keyword Search and Content Based Classification. EDUCON 2021: 398-403 - [c34]Kazunori Yamaguchi, Yoshitatsu Matsuda:
Cost-based Framework for Natural Language Argumentation Analysis. ITHET 2021: 1-10 - [c33]Taisuke Kawamata, Yoshitatsu Matsuda, Takayuki Sekiya, Kazunori Yamaguchi:
Analysis of Computer Science Textbooks by Topic Modeling and Dynamic Time Warping. TALE 2021: 865-870 - 2020
- [c32]Yoshitatsu Matsuda:
Optimization of Search Space for Finding Very Short Lattice Vectors. IWSEC 2020: 149-161
2010 – 2019
- 2019
- [c31]Yoshitatsu Matsuda, Tadanori Teruya, Kenji Kashiwabara:
Efficient Estimation of Number of Short Lattice Vectors in Search Space under Randomness Assumption. APKC@AsiaCCS 2019: 13-22 - [c30]Takayuki Sekiya, Yoshitatsu Matsuda, Kazunori Yamaguchi:
Investigation on University Websites for Semi-automated Syllabus Crawling. FIE 2019: 1-7 - 2018
- [j9]Yoshitatsu Matsuda, Takayuki Sekiya, Kazunori Yamaguchi:
Curriculum Analysis of Computer Science Departments by Simplified, Supervised LDA. J. Inf. Process. 26: 497-508 (2018) - [j8]Yoshitatsu Matsuda, Kazunori Yamaguchi:
A Unifying Objective Function of Independent Component Analysis for Ordering Sources by Non-Gaussianity. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5630-5642 (2018) - [i1]Yoshitatsu Matsuda, Tadanori Teruya, Kenji Kashiwabara:
Estimation of the Success Probability of Random Sampling by the Gram-Charlier Approximation. IACR Cryptol. ePrint Arch. 2018: 815 (2018) - 2017
- [c29]Takayuki Sekiya, Yoshitatsu Matsuda, Kazunori Yamaguchi:
A web-based curriculum engineering tool for investigating syllabi in topic space of standard computer science curricula. FIE 2017: 1-9 - [c28]Yoshitatsu Matsuda, Kazunori Yamaguchi:
Efficient Optimization of the Adaptive ICA Function with Estimating the Number of Non-Gaussian Sources. LVA/ICA 2017: 469-478 - [c27]Yoshitatsu Matsuda, Takayuki Sekiya, Kazunori Yamaguchi:
Discovery of Interconnection Among Knowledge Areas of Standard Computer Science Curricula by a Data Science Approach. ICONIP (5) 2017: 186-195 - 2016
- [c26]Yoshitatsu Matsuda, Kazunori Yamaguchi:
Gram-Schmidt Orthonormalization to the Adaptive ICA Function for Fixing the Permutation Ambiguity. ICONIP (2) 2016: 152-159 - [c25]Yoshitatsu Matsuda, Kazunori Yamaguchi:
Adaptive objective function of ICA by Gaussian approximation in second-order polynomial feature space. IJCNN 2016: 2382-2389 - [c24]Ken-ichiro Nishioka, Yoshitatsu Matsuda, Kazunori Yamaguchi:
User Location Prediction by Diffusion-Type Estimation Using Location-Based SNS Check-in Data. iThings/GreenCom/CPSCom/SmartData 2016: 14-19 - 2015
- [j7]Yoshitatsu Matsuda, Kazunori Yamaguchi, Ken-ichiro Nishioka:
Discovery of Regular and Irregular Spatio-Temporal Patterns from Location-Based SNS by Diffusion-Type Estimation. IEICE Trans. Inf. Syst. 98-D(9): 1675-1682 (2015) - [c23]Yoshitatsu Matsuda, Kazunori Yamaguchi:
Objective Function of ICA with Smooth Estimation of Kurtosis. ICONIP (3) 2015: 164-171 - [c22]Ken-ichiro Nishioka, Yoshitatsu Matsuda, Kazunori Yamaguchi:
Discovery of localized spatio-temporal patterns from location-based SNS by clustering users. IJCNN 2015: 1-8 - [c21]Takayuki Sekiya, Yoshitatsu Matsuda, Kazunori Yamaguchi:
Curriculum analysis of CS departments based on CS2013 by simplified, supervised LDA. LAK 2015: 330-339 - 2014
- [c20]Yoshitatsu Matsuda, Kazunori Yamaguchi, Ken-ichiro Nishioka:
Discovery of Spatio-Temporal Patterns from Foursquare by Diffusion-type Estimation and ICA. ICANN 2014: 765-772 - [c19]Ikumi Horie, Kazunori Yamaguchi, Kenji Kashiwabara, Yoshitatsu Matsuda:
Improvement of difficulty estimation of personalized teaching material generator by JACET. ITHET 2014: 1-8 - 2013
- [c18]Yoshitatsu Matsuda, Kazunori Yamaguchi:
Ensemble Joint Approximate Diagonalization by an Information Theoretic Approach. ICONIP (3) 2013: 309-316 - 2012
- [j6]Yoshitatsu Matsuda, Kazunori Yamaguchi:
Global Mapping Analysis: Stochastic Gradient Algorithm in Multidimensional Scaling. IEICE Trans. Inf. Syst. 95-D(2): 596-603 (2012) - [c17]Yoshitatsu Matsuda, Kazunori Yamaguchi:
A Robust Objective Function of Joint Approximate Diagonalization. ICANN (2) 2012: 205-212 - 2011
- [j5]Yoshitatsu Matsuda, Kazunori Yamaguchi:
An adaptive threshold in joint approximate diagonalization by assuming exponentially distributed errors. Neurocomputing 74(11): 1994-2001 (2011) - [c16]Yoshitatsu Matsuda, Kazunori Yamaguchi:
An Information Theoretic Approach to Joint Approximate Diagonalization. ICONIP (1) 2011: 20-27 - 2010
- [c15]Yoshitatsu Matsuda, Kazunori Yamaguchi:
Partial Extraction of Edge Filters by Cumulant-Based ICA under Highly Overcomplete Model. ICONIP (2) 2010: 633-640 - [c14]Yoshitatsu Matsuda, Kazunori Yamaguchi:
A probabilistic framework for joint approximate diagonalization. IJCNN 2010: 1-6 - [c13]Takayuki Sekiya, Yoshitatsu Matsuda, Kazunori Yamaguchi:
Analysis of computer science related curriculum on LDA and Isomap. ITiCSE 2010: 48-52
2000 – 2009
- 2009
- [j4]Yoshitatsu Matsuda, Kazunori Yamaguchi:
Linear Multilayer ICA Using Adaptive PCA. Neural Process. Lett. 30(2): 133-144 (2009) - [c12]Yoshitatsu Matsuda, Kazunori Yamaguchi:
Joint Approximate Diagonalization Utilizing AIC-Based Decision in the Jacobi Method. ICANN (2) 2009: 135-144 - [c11]Yoshitatsu Matsuda, Kazunori Yamaguchi:
An Adaptive Threshold in Joint Approximate Diagonalization by the Information Criterion. ICONIP (1) 2009: 204-211 - [c10]Yoshitatsu Matsuda, Kazunori Yamaguchi:
A simple overcomplete ICA algorithm by non-orthogonal pair optimizations. IJCNN 2009: 2027-2031 - 2008
- [c9]Yoshitatsu Matsuda, Kazunori Yamaguchi:
An Overcomplete ICA Algorithm by InfoMax and InfoMin. ICANN (1) 2008: 136-144 - [c8]Yoshitatsu Matsuda, Kazunori Yamaguchi:
A connection-limited neural network by InfoMax and InfoMin. IJCNN 2008: 2531-2537 - 2007
- [j3]Yoshitatsu Matsuda, Kazunori Yamaguchi:
Linear Multilayer ICA Generating Hierarchical Edge Detectors. Neural Comput. 19(1): 218-230 (2007) - [c7]Yoshitatsu Matsuda, Kazunori Yamaguchi:
Extraction of Approximate Independent Components from Large Natural Scenes. ICONIP (1) 2007: 635-642 - 2006
- [c6]Yoshitatsu Matsuda, Kazunori Yamaguchi:
The InfoMin Principle for ICA and Topographic Mappings. ICA 2006: 958-965 - [c5]Yoshitatsu Matsuda, Kazunori Yamaguchi:
A Fixed-Point Algorithm of Topographic ICA. ICANN (2) 2006: 587-594 - 2005
- [j2]Yoshitatsu Matsuda, Kazunori Yamaguchi:
An efficient MDS-based topographic mapping algorithm. Neurocomputing 64: 285-299 (2005) - [c4]Yoshitatsu Matsuda, Kazunori Yamaguchi:
An Efficient MDS Algorithm for the Analysis of Massive Document Collections. KES (2) 2005: 1015-1021 - 2004
- [c3]Yoshitatsu Matsuda, Kazunori Yamaguchi:
Linear Multilayer Independent Component Analysis Using Stochastic Gradient Algorithm. ICA 2004: 303-310 - [c2]Yoshitatsu Matsuda, Kazunori Yamaguchi:
Linear Multilayer Independent Component Analysis for Large Natural Scenes. NIPS 2004: 897-904 - 2003
- [c1]Yoshitatsu Matsuda, Kazunori Yamaguchi:
The InfoMin Criterion: An Information Theoretic Unifying Objective Function for Topographic Mappings. ICANN 2003: 401-408 - 2001
- [j1]Yoshitatsu Matsuda, Kazunori Yamaguchi:
Global Mapping Analysis: Stochastic Approximation for Multidimensional Scaling. Int. J. Neural Syst. 11(5): 419-426 (2001)
Coauthor Index
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