Lincon S. Souza
Researcher, Machine Learning Research Team — AIRC, AIST
Associate Professor (Collaborative Graduate School), University of Tsukuba
Research interests: machine learning, pattern recognition, subspace learning, neural networks, Riemannian manifold / geometric machine learning.
Journals
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. Subspace training mitigates gradient noise vulnerability. International Journal of Computer Vision, 2026.
@article{souza2026subspace, author = {Lincon S. Souza and Takumi Kobayashi}, title = {Subspace training mitigates gradient noise vulnerability}, journal = {International Journal of Computer Vision}, year = {2026}, url = {https://link.springer.com/article/10.1007/s11263-025-02598-x}, } -
. Frame Representation Hypothesis: Multi-Token LLM Interpretability and Concept-Guided Text Generation. Transactions of the Association for Computational Linguistics (TACL), 2025.
@article{valois2025frameTACL, author = {Pedro H. V. Valois and Erica K. Shimomoto and Lincon S. Souza and Kazuhiro Fukui}, title = {Frame Representation Hypothesis: Multi-Token LLM Interpretability and Concept-Guided Text Generation}, journal = {Transactions of the Association for Computational Linguistics (TACL)}, year = {2025}, url = {https://aclanthology.org/2025.tacl-1.65/}, arxiv = {2412.07334}, } -
. Model selection methods for model-bridge simulation calibration. IEEE Access, 2025.
@article{batalo2025modelselection, author = {Bojan Batalo and Lincon S. Souza and Keisuke Yamazaki}, title = {Model selection methods for model-bridge simulation calibration}, journal = {IEEE Access}, year = {2025}, url = {https://ieeexplore.ieee.org/document/10971343}, } -
. Signal Latent Subspace: a new representation for Environmental Sound Classification. Applied Acoustics, 2024.
@article{mahyub2024signal, author = {Maha Mahyub and Lincon S. Souza and Bojan Batalo and Kazuhiro Fukui}, title = {Signal Latent Subspace: a new representation for Environmental Sound Classification}, journal = {Applied Acoustics}, year = {2024}, url = {https://www.sciencedirect.com/science/article/abs/pii/S0003682X24003323}, } -
. Grassmannian learning mutual subspace method for image set recognition. Neurocomputing, 2023.
@article{souza2023grassmannian, author = {Lincon S. Souza and Naoya Sogi and Bernardo B. Gatto and Takumi Kobayashi and Kazuhiro Fukui}, title = {Grassmannian learning mutual subspace method for image set recognition}, journal = {Neurocomputing}, year = {2023}, url = {https://www.sciencedirect.com/science/article/abs/pii/S0925231222013133}, arxiv = {2111.04352}, } -
. Slow Feature Subspace: A Video Representation Based on Slow Feature Analysis for Action Recognition. Machine Learning with Applications, 2023.
@article{beleza2023slowfeature, author = {Suzana R. A. Beleza and Erica K. Shimomoto and Lincon S. Souza and Kazuhiro Fukui}, title = {Slow Feature Subspace: A Video Representation Based on Slow Feature Analysis for Action Recognition}, journal = {Machine Learning with Applications}, year = {2023}, url = {https://www.sciencedirect.com/science/article/pii/S2666827023000464}, } -
. Temporal-Stochastic Tensor Features for Action Recognition. Machine Learning with Applications, 2022.
@article{batalo2022temporal, author = {Bojan Batalo and Lincon S. Souza and Bernardo B. Gatto and Naoya Sogi and Kazuhiro Fukui}, title = {Temporal-Stochastic Tensor Features for Action Recognition}, journal = {Machine Learning with Applications}, year = {2022}, url = {https://www.sciencedirect.com/science/article/pii/S2666827022000822}, } -
. Enhanced Grassmann Discriminant Analysis with Randomized Time Warping for Motion Recognition. Pattern Recognition, 2020.
@article{souza2020enhanced, author = {Lincon S. Souza and Bernardo B. Gatto and Jing-Hao Xue and Kazuhiro Fukui}, title = {Enhanced Grassmann Discriminant Analysis with Randomized Time Warping for Motion Recognition}, journal = {Pattern Recognition}, year = {2020}, url = {https://www.sciencedirect.com/science/article/abs/pii/S0031320319303310}, } -
. A semi-supervised convolutional neural network based on subspace representation for image classification. EURASIP Journal on Image and Video Processing, 2020.
@article{gatto2020semisupervised, author = {Bernardo B. Gatto and Lincon S. Souza and Eulanda M. Santos and Kazuhiro Fukui and Waldir S. S. Junior and Kenny V. Santos}, title = {A semi-supervised convolutional neural network based on subspace representation for image classification}, journal = {EURASIP Journal on Image and Video Processing}, year = {2020}, url = {https://jivp-eurasipjournals.springeropen.com/articles/10.1186/s13640-020-00507-5}, }
International conferences and workshops
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. MOST: Momentum Online Subspace Training. International Conference on Pattern Recognition (ICPR), 2026.
@inproceedings{souza2026most, author = {Lincon S. Souza and Bojan Batalo and Takumi Kobayashi}, title = {MOST: Momentum Online Subspace Training}, booktitle = {International Conference on Pattern Recognition (ICPR)}, year = {2026}, } -
. Frame Representation Hypothesis: Multi-Token LLM Interpretability and Concept-Guided Text Generation. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025.
@inproceedings{valois2025emnlp, author = {Pedro H. V. Valois and Erica K. Shimomoto and Lincon S. Souza and Kazuhiro Fukui}, title = {Frame Representation Hypothesis: Multi-Token LLM Interpretability and Concept-Guided Text Generation}, booktitle = {Conference on Empirical Methods in Natural Language Processing (EMNLP)}, year = {2025}, url = {https://aclanthology.org/2025.tacl-1.65/}, } -
. Hankel Surrogate for Model-Bridge Simulation Calibration. IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 2025.
@inproceedings{souza2025hankel, author = {Lincon S. Souza and Maha Mahyub and Bojan Batalo and Keisuke Yamazaki}, title = {Hankel Surrogate for Model-Bridge Simulation Calibration}, booktitle = {IEEE International Workshop on Machine Learning for Signal Processing (MLSP)}, year = {2025}, url = {https://ieeexplore.ieee.org/document/11204274}, } -
. Local distance correlation embedding for time-series analysis on Riemannian manifolds. ICASSP, 2024.
@inproceedings{souza2024local, author = {Lincon S. Souza and Takumi Kobayashi and Yasunori Nishimori and Yasuko Sugase-Miyamoto and Kenji Kawano and Shotaro Akaho and Narihisa Matsumoto}, title = {Local distance correlation embedding for time-series analysis on Riemannian manifolds}, booktitle = {ICASSP}, year = {2024}, url = {https://ieeexplore.ieee.org/document/10446123}, } -
. A geometric surrogate for simulation calibration. ICASSP, 2023.
@inproceedings{souza2023geometric, author = {Lincon S. Souza and Bojan Batalo and Keisuke Yamazaki}, title = {A geometric surrogate for simulation calibration}, booktitle = {ICASSP}, year = {2023}, url = {https://ieeexplore.ieee.org/document/10096719}, } -
. Domain-Sum Feature Transformation For Multi-Target Domain Adaptation. BMVC, 2023.
@inproceedings{kobayashi2023domainsum, author = {Takumi Kobayashi and Lincon S. Souza and Kazuhiro Fukui}, title = {Domain-Sum Feature Transformation For Multi-Target Domain Adaptation}, booktitle = {BMVC}, year = {2023}, url = {https://proceedings.bmvc2023.org/197/}, } -
. Statistical moments for simulation calibration with model-bridge. International Conference on Mathematical Modeling in Physical Sciences, 2023.
@inproceedings{batalo2023statistical, author = {Bojan Batalo and Lincon S. Souza and Keisuke Yamazaki}, title = {Statistical moments for simulation calibration with model-bridge}, booktitle = {International Conference on Mathematical Modeling in Physical Sciences}, year = {2023}, url = {https://iopscience.iop.org/article/10.1088/1742-6596/2701/1/012047}, } -
. Random Fourier Surrogate for simulation calibration. International Conference on Mathematical Modeling in Physical Sciences, 2023.
@inproceedings{mahyub2023randomfourier, author = {Maha Mahyub and Lincon S. Souza and Bojan Batalo and Keisuke Yamazaki}, title = {Random Fourier Surrogate for simulation calibration}, booktitle = {International Conference on Mathematical Modeling in Physical Sciences}, year = {2023}, url = {https://iopscience.iop.org/article/10.1088/1742-6596/2701/1/012048}, } -
. Analysis of Temporal Tensor Datasets on Product Grassmann Manifold. CVPR Workshop on Vision Datasets Understanding (VDU), 2022.
@inproceedings{batalo2022analysis, author = {Bojan Batalo and Lincon S. Souza and Naoya Sogi and Bernardo B. Gatto and Kazuhiro Fukui}, title = {Analysis of Temporal Tensor Datasets on Product Grassmann Manifold}, booktitle = {CVPR Workshop on Vision Datasets Understanding (VDU)}, year = {2022}, url = {https://openaccess.thecvf.com/content/CVPR2022W/VDU/html/Batalo_Analysis_of_Temporal_Tensor_Datasets_on_Product_Grassmann_Manifold_CVPRW_2022_paper.html}, } -
. Environmental sound classification based on CNN latent subspaces. International Workshop on Acoustic Signal Enhancement (IWAENC), 2022.
@inproceedings{mahyub2022environmental, author = {Maha Mahyub and Lincon S. Souza and Bojan Batalo and Kazuhiro Fukui}, title = {Environmental sound classification based on CNN latent subspaces}, booktitle = {International Workshop on Acoustic Signal Enhancement (IWAENC)}, year = {2022}, url = {https://ieeexplore.ieee.org/document/9914765}, } -
. An Interface between Grassmann manifolds and vector spaces. CVPR Workshop (DiffCVML), 2020.
@inproceedings{souza2020interface, author = {Lincon S. Souza and Naoya Sogi and Bernardo B. Gatto and Takumi Kobayashi and Kazuhiro Fukui}, title = {An Interface between Grassmann manifolds and vector spaces}, booktitle = {CVPR Workshop (DiffCVML)}, year = {2020}, url = {https://openaccess.thecvf.com/content_CVPRW_2020/papers/w50/Souza_An_Interface_Between_Grassmann_Manifolds_and_Vector_Spaces_CVPRW_2020_paper.pdf}, } -
. Metric Learning with A-based Scalar Product for Image-set Recognition. CVPR Workshop (DiffCVML), 2020.
@inproceedings{sogi2020metric, author = {Naoya Sogi and Lincon S. Souza and Bernardo B. Gatto and Kazuhiro Fukui}, title = {Metric Learning with A-based Scalar Product for Image-set Recognition}, booktitle = {CVPR Workshop (DiffCVML)}, year = {2020}, url = {https://openaccess.thecvf.com/content_CVPRW_2020/papers/w50/Sogi_Metric_Learning_With_A-Based_Scalar_Product_for_Image-Set_Recognition_CVPRW_2020_paper.pdf}, } -
. Discriminative Singular Spectrum Analysis for bioacoustic classification. Interspeech, 2020.
@inproceedings{gatto2020discriminative, author = {Bernardo B. Gatto and Lincon S. Souza and Naoya Sogi and Juan Colonna and Eulanda M. Santos and Kazuhiro Fukui}, title = {Discriminative Singular Spectrum Analysis for bioacoustic classification}, booktitle = {Interspeech}, year = {2020}, url = {https://www.isca-archive.org/interspeech_2020/gatto20_interspeech.html}, } -
. Classification of Bioacoustic Signals with Tangent Singular Spectrum Analysis. ICASSP, 2019.
@inproceedings{souza2019classification, author = {Lincon S. Souza and Bernardo B. Gatto and Kazuhiro Fukui}, title = {Classification of Bioacoustic Signals with Tangent Singular Spectrum Analysis}, booktitle = {ICASSP}, year = {2019}, url = {https://ieeexplore.ieee.org/document/8682493}, } -
. News2meme: An Automatic Content Generator from News Based on Word Subspaces from Text and Image. IAPR International Conference on Machine Vision Applications (MVA), 2019.
@inproceedings{shimomoto2019news2meme, author = {Erica K. Shimomoto and Lincon S. Souza and Bernardo B. Gatto and Kazuhiro Fukui}, title = {News2meme: An Automatic Content Generator from News Based on Word Subspaces from Text and Image}, booktitle = {IAPR International Conference on Machine Vision Applications (MVA)}, year = {2019}, url = {http://www.mva-org.jp/Proceedings/2019/papers/05-14.pdf}, } -
. An Extension of Grassmann Discriminant Analysis for Image-set Based Recognition. ACML Workshop on Statistics and Machine Learning Researchers in Japan (poster), 2019.
@inproceedings{sogi2019extension, author = {Naoya Sogi and Lincon S. Souza and Kazuhiro Fukui}, title = {An Extension of Grassmann Discriminant Analysis for Image-set Based Recognition}, booktitle = {ACML Workshop on Statistics and Machine Learning Researchers in Japan (poster)}, year = {2019}, } -
. Grassmann Singular Spectrum Analysis for Bioacoustics Classification. ICASSP, 2018.
@inproceedings{souza2018grassmann, author = {Lincon S. Souza and Bernardo B. Gatto and Kazuhiro Fukui}, title = {Grassmann Singular Spectrum Analysis for Bioacoustics Classification}, booktitle = {ICASSP}, year = {2018}, url = {https://ieeexplore.ieee.org/document/8461610}, } -
. Text Classification based on Word Subspace with Term-Frequency. IJCNN, 2018.
@inproceedings{shimomoto2018text, author = {Erica K. Shimomoto and Lincon S. Souza and Bernardo B. Gatto and Kazuhiro Fukui}, title = {Text Classification based on Word Subspace with Term-Frequency}, booktitle = {IJCNN}, year = {2018}, url = {https://arxiv.org/abs/1806.03125}, } -
. Hankel Subspace method for Efficient Gesture Representation. IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 2017.
@inproceedings{gatto2017hankel, author = {Bernardo B. Gatto and Anna Bogdanova and Lincon S. Souza and Eulanda M. dos Santos}, title = {Hankel Subspace method for Efficient Gesture Representation}, booktitle = {IEEE International Workshop on Machine Learning for Signal Processing (MLSP)}, year = {2017}, url = {https://ieeexplore.ieee.org/document/8168114}, } -
. Enhancing Discriminability of Randomized Time Warping for Motion Recognition. IAPR International Conference on Machine Vision Applications (MVA), 2017.
@inproceedings{souza2017enhancing, author = {Lincon S. Souza and Bernardo Gatto and Kazuhiro Fukui}, title = {Enhancing Discriminability of Randomized Time Warping for Motion Recognition}, booktitle = {IAPR International Conference on Machine Vision Applications (MVA)}, year = {2017}, url = {https://ieeexplore.ieee.org/document/7986794}, } -
. A Deep Network Model based on Subspaces: A Novel Approach for Image Classification. IAPR International Conference on Machine Vision Applications (MVA), 2017.
@inproceedings{gatto2017deepnetwork, author = {Bernardo Gatto and Lincon S. Souza and Eulanda Santos}, title = {A Deep Network Model based on Subspaces: A Novel Approach for Image Classification}, booktitle = {IAPR International Conference on Machine Vision Applications (MVA)}, year = {2017}, url = {https://ieeexplore.ieee.org/document/7986894}, } -
. Feature Point Extraction using 3D Separability Filter for Finger Shape Recognition. International Workshop on Frontiers of Computer Vision (IWFCV), 2017.
@inproceedings{yataka2017feature, author = {Ryoma Yataka and Lincon S. Souza and Kazuhiro Fukui}, title = {Feature Point Extraction using 3D Separability Filter for Finger Shape Recognition}, booktitle = {International Workshop on Frontiers of Computer Vision (IWFCV)}, year = {2017}, } -
. 3D Object Recognition with Enhanced Grassmann Discriminant Analysis. ACCV Workshop (HIS), 2016.
@inproceedings{souza2016object, author = {Lincon S. Souza and Hideitsu Hino and Kazuhiro Fukui}, title = {3D Object Recognition with Enhanced Grassmann Discriminant Analysis}, booktitle = {ACCV Workshop (HIS)}, year = {2016}, url = {https://link.springer.com/chapter/10.1007/978-3-319-54526-4_26}, }
Preprints
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. Second-order difference subspace. arXiv:2409.08563, 2024.
@misc{fukui2024second, author = {Kazuhiro Fukui and Pedro Valois and Lincon S. Souza and Takumi Kobayashi}, title = {Second-order difference subspace}, year = {2024}, howpublished = {arXiv:2409.08563}, url = {https://arxiv.org/abs/2409.08563}, }