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Journal Articles

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2018
[j9]
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Yoshitatsu Matsuda, Takayuki Sekiya, Kazunori Yamaguchi:
Curriculum Analysis of Computer Science Departments by Simplified, Supervised LDA. J. Inf. Process. 26: 497-508 (2018)
[j8]
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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)
2015
[j7]
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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)
2012
[j6]
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Yoshitatsu Matsuda, Kazunori Yamaguchi:
Global Mapping Analysis: Stochastic Gradient Algorithm in Multidimensional Scaling. IEICE Trans. Inf. Syst. 95-D(2): 596-603 (2012)
2011
[j5]
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Yoshitatsu Matsuda, Kazunori Yamaguchi:
An adaptive threshold in joint approximate diagonalization by assuming exponentially distributed errors. Neurocomputing 74(11): 1994-2001 (2011)
2009
[j4]
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Yoshitatsu Matsuda, Kazunori Yamaguchi:
Linear Multilayer ICA Using Adaptive PCA. Neural Process. Lett. 30(2): 133-144 (2009)
2007
[j3]
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Yoshitatsu Matsuda, Kazunori Yamaguchi:
Linear Multilayer ICA Generating Hierarchical Edge Detectors. Neural Comput. 19(1): 218-230 (2007)
2005
[j2]
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Yoshitatsu Matsuda, Kazunori Yamaguchi:
An efficient MDS-based topographic mapping algorithm. Neurocomputing 64: 285-299 (2005)
2001
[j1]
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Yoshitatsu Matsuda, Kazunori Yamaguchi:
Global Mapping Analysis: Stochastic Approximation for Multidimensional Scaling. Int. J. Neural Syst. 11(5): 419-426 (2001)

Conference and Workshop Papers

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2022
[c37]
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Takayuki Sekiya, Yoshitatsu Matsuda, Kazunori Yamaguchi:
Improvements of a Hybrid Syllabus Search Tool by Syllabus-related Heuristics. FIE 2022: 1-8
[c36]
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Kazunori Yamaguchi, Yoshitatsu Matsuda, Yuya Morinaga:
Averaging Solution of Differential Equations as Value for Argumentation Graph with Similarity. KES 2022: 614-623
2021
[c35]
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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]
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Kazunori Yamaguchi, Yoshitatsu Matsuda:
Cost-based Framework for Natural Language Argumentation Analysis. ITHET 2021: 1-10
[c33]
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  - conf/tale/KawamataMSY21
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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]
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Yoshitatsu Matsuda:
Optimization of Search Space for Finding Very Short Lattice Vectors. IWSEC 2020: 149-161
2019
[c31]
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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]
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Takayuki Sekiya, Yoshitatsu Matsuda, Kazunori Yamaguchi:
Investigation on University Websites for Semi-automated Syllabus Crawling. FIE 2019: 1-7
2017
[c29]
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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]
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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]
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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]
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Yoshitatsu Matsuda, Kazunori Yamaguchi:
Gram-Schmidt Orthonormalization to the Adaptive ICA Function for Fixing the Permutation Ambiguity. ICONIP (2) 2016: 152-159
[c25]
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Yoshitatsu Matsuda, Kazunori Yamaguchi:
Adaptive objective function of ICA by Gaussian approximation in second-order polynomial feature space. IJCNN 2016: 2382-2389
[c24]
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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
[c23]
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Yoshitatsu Matsuda, Kazunori Yamaguchi:
Objective Function of ICA with Smooth Estimation of Kurtosis. ICONIP (3) 2015: 164-171
[c22]
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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]
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Takayuki Sekiya, Yoshitatsu Matsuda, Kazunori Yamaguchi:
Curriculum analysis of CS departments based on CS2013 by simplified, supervised LDA. LAK 2015: 330-339
2014
[c20]
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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]
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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]
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Yoshitatsu Matsuda, Kazunori Yamaguchi:
Ensemble Joint Approximate Diagonalization by an Information Theoretic Approach. ICONIP (3) 2013: 309-316
2012
[c17]
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Yoshitatsu Matsuda, Kazunori Yamaguchi:
A Robust Objective Function of Joint Approximate Diagonalization. ICANN (2) 2012: 205-212
2011
[c16]
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Yoshitatsu Matsuda, Kazunori Yamaguchi:
An Information Theoretic Approach to Joint Approximate Diagonalization. ICONIP (1) 2011: 20-27
2010
[c15]
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Yoshitatsu Matsuda, Kazunori Yamaguchi:
Partial Extraction of Edge Filters by Cumulant-Based ICA under Highly Overcomplete Model. ICONIP (2) 2010: 633-640
[c14]
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Yoshitatsu Matsuda, Kazunori Yamaguchi:
A probabilistic framework for joint approximate diagonalization. IJCNN 2010: 1-6
[c13]
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Takayuki Sekiya, Yoshitatsu Matsuda, Kazunori Yamaguchi:
Analysis of computer science related curriculum on LDA and Isomap. ITiCSE 2010: 48-52
2009
[c12]
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Yoshitatsu Matsuda, Kazunori Yamaguchi:
Joint Approximate Diagonalization Utilizing AIC-Based Decision in the Jacobi Method. ICANN (2) 2009: 135-144
[c11]
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Yoshitatsu Matsuda, Kazunori Yamaguchi:
An Adaptive Threshold in Joint Approximate Diagonalization by the Information Criterion. ICONIP (1) 2009: 204-211
[c10]
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Yoshitatsu Matsuda, Kazunori Yamaguchi:
A simple overcomplete ICA algorithm by non-orthogonal pair optimizations. IJCNN 2009: 2027-2031
2008
[c9]
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Yoshitatsu Matsuda, Kazunori Yamaguchi:
An Overcomplete ICA Algorithm by InfoMax and InfoMin. ICANN (1) 2008: 136-144
[c8]
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Yoshitatsu Matsuda, Kazunori Yamaguchi:
A connection-limited neural network by InfoMax and InfoMin. IJCNN 2008: 2531-2537
2007
[c7]
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Yoshitatsu Matsuda, Kazunori Yamaguchi:
Extraction of Approximate Independent Components from Large Natural Scenes. ICONIP (1) 2007: 635-642
2006
[c6]
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Yoshitatsu Matsuda, Kazunori Yamaguchi:
The InfoMin Principle for ICA and Topographic Mappings. ICA 2006: 958-965
[c5]
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Yoshitatsu Matsuda, Kazunori Yamaguchi:
A Fixed-Point Algorithm of Topographic ICA. ICANN (2) 2006: 587-594
2005
[c4]
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Yoshitatsu Matsuda, Kazunori Yamaguchi:
An Efficient MDS Algorithm for the Analysis of Massive Document Collections. KES (2) 2005: 1015-1021
2004
[c3]
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Yoshitatsu Matsuda, Kazunori Yamaguchi:
Linear Multilayer Independent Component Analysis Using Stochastic Gradient Algorithm. ICA 2004: 303-310
[c2]
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Yoshitatsu Matsuda, Kazunori Yamaguchi:
Linear Multilayer Independent Component Analysis for Large Natural Scenes. NIPS 2004: 897-904
2003
[c1]
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Yoshitatsu Matsuda, Kazunori Yamaguchi:
The InfoMin Criterion: An Information Theoretic Unifying Objective Function for Topographic Mappings. ICANN 2003: 401-408

Informal and Other Publications

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2024
[i2]
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  - journals/corr/abs-2408-17118
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Yoshitatsu Matsuda, Kazunori Yamaguch:
Efficient Estimation of Unique Components in Independent Component Analysis by Matrix Representation. CoRR abs/2408.17118 (2024)
2018
[i1]
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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)

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