Lincon S. Souza

Journals

  1. Lincon S. Souza, Takumi Kobayashi. Subspace training mitigates gradient noise vulnerability. International Journal of Computer Vision, 2026.
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  2. Pedro H. V. Valois, Erica K. Shimomoto, Lincon S. Souza, Kazuhiro Fukui. Frame Representation Hypothesis: Multi-Token LLM Interpretability and Concept-Guided Text Generation. Transactions of the Association for Computational Linguistics (TACL), 2025.
  3. Bojan Batalo, Lincon S. Souza, Keisuke Yamazaki. Model selection methods for model-bridge simulation calibration. IEEE Access, 2025.
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  4. Maha Mahyub, Lincon S. Souza, Bojan Batalo, Kazuhiro Fukui. Signal Latent Subspace: a new representation for Environmental Sound Classification. Applied Acoustics, 2024.
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  5. Lincon S. Souza, Naoya Sogi, Bernardo B. Gatto, Takumi Kobayashi, Kazuhiro Fukui. Grassmannian learning mutual subspace method for image set recognition. Neurocomputing, 2023.
  6. Suzana R. A. Beleza, Erica K. Shimomoto, Lincon S. Souza, Kazuhiro Fukui. Slow Feature Subspace: A Video Representation Based on Slow Feature Analysis for Action Recognition. Machine Learning with Applications, 2023.
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  7. Bojan Batalo, Lincon S. Souza, Bernardo B. Gatto, Naoya Sogi, Kazuhiro Fukui. Temporal-Stochastic Tensor Features for Action Recognition. Machine Learning with Applications, 2022.
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  8. Lincon S. Souza, Bernardo B. Gatto, Jing-Hao Xue, Kazuhiro Fukui. Enhanced Grassmann Discriminant Analysis with Randomized Time Warping for Motion Recognition. Pattern Recognition, 2020.
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  9. Bernardo B. Gatto, Lincon S. Souza, Eulanda M. Santos, Kazuhiro Fukui, Waldir S. S. Junior, Kenny V. Santos. A semi-supervised convolutional neural network based on subspace representation for image classification. EURASIP Journal on Image and Video Processing, 2020.
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International conferences and workshops

  1. Lincon S. Souza, Bojan Batalo, Takumi Kobayashi. MOST: Momentum Online Subspace Training. International Conference on Pattern Recognition (ICPR), 2026.
  2. Pedro H. V. Valois, Erica K. Shimomoto, Lincon S. Souza, Kazuhiro Fukui. Frame Representation Hypothesis: Multi-Token LLM Interpretability and Concept-Guided Text Generation. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025.
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  3. Lincon S. Souza, Maha Mahyub, Bojan Batalo, Keisuke Yamazaki. Hankel Surrogate for Model-Bridge Simulation Calibration. IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 2025.
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  4. Lincon S. Souza, Takumi Kobayashi, Yasunori Nishimori, Yasuko Sugase-Miyamoto, Kenji Kawano, Shotaro Akaho, Narihisa Matsumoto. Local distance correlation embedding for time-series analysis on Riemannian manifolds. ICASSP, 2024.
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  5. Lincon S. Souza, Bojan Batalo, Keisuke Yamazaki. A geometric surrogate for simulation calibration. ICASSP, 2023.
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  6. Takumi Kobayashi, Lincon S. Souza, Kazuhiro Fukui. Domain-Sum Feature Transformation For Multi-Target Domain Adaptation. BMVC, 2023.
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  7. Bojan Batalo, Lincon S. Souza, Keisuke Yamazaki. Statistical moments for simulation calibration with model-bridge. International Conference on Mathematical Modeling in Physical Sciences, 2023.
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  8. Maha Mahyub, Lincon S. Souza, Bojan Batalo, Keisuke Yamazaki. Random Fourier Surrogate for simulation calibration. International Conference on Mathematical Modeling in Physical Sciences, 2023.
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  9. Bojan Batalo, Lincon S. Souza, Naoya Sogi, Bernardo B. Gatto, Kazuhiro Fukui. Analysis of Temporal Tensor Datasets on Product Grassmann Manifold. CVPR Workshop on Vision Datasets Understanding (VDU), 2022.
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  10. Maha Mahyub, Lincon S. Souza, Bojan Batalo, Kazuhiro Fukui. Environmental sound classification based on CNN latent subspaces. International Workshop on Acoustic Signal Enhancement (IWAENC), 2022.
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  11. Lincon S. Souza, Naoya Sogi, Bernardo B. Gatto, Takumi Kobayashi, Kazuhiro Fukui. An Interface between Grassmann manifolds and vector spaces. CVPR Workshop (DiffCVML), 2020.
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  12. Naoya Sogi, Lincon S. Souza, Bernardo B. Gatto, Kazuhiro Fukui. Metric Learning with A-based Scalar Product for Image-set Recognition. CVPR Workshop (DiffCVML), 2020.
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  13. Bernardo B. Gatto, Lincon S. Souza, Naoya Sogi, Juan Colonna, Eulanda M. Santos, Kazuhiro Fukui. Discriminative Singular Spectrum Analysis for bioacoustic classification. Interspeech, 2020.
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  14. Lincon S. Souza, Bernardo B. Gatto, Kazuhiro Fukui. Classification of Bioacoustic Signals with Tangent Singular Spectrum Analysis. ICASSP, 2019.
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  15. Erica K. Shimomoto, Lincon S. Souza, Bernardo B. Gatto, Kazuhiro Fukui. News2meme: An Automatic Content Generator from News Based on Word Subspaces from Text and Image. IAPR International Conference on Machine Vision Applications (MVA), 2019.
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  16. Naoya Sogi, Lincon S. Souza, Kazuhiro Fukui. An Extension of Grassmann Discriminant Analysis for Image-set Based Recognition. ACML Workshop on Statistics and Machine Learning Researchers in Japan (poster), 2019.
  17. Lincon S. Souza, Bernardo B. Gatto, Kazuhiro Fukui. Grassmann Singular Spectrum Analysis for Bioacoustics Classification. ICASSP, 2018.
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  18. Erica K. Shimomoto, Lincon S. Souza, Bernardo B. Gatto, Kazuhiro Fukui. Text Classification based on Word Subspace with Term-Frequency. IJCNN, 2018.
    arXiv
  19. Bernardo B. Gatto, Anna Bogdanova, Lincon S. Souza, Eulanda M. dos Santos. Hankel Subspace method for Efficient Gesture Representation. IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 2017.
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  20. Lincon S. Souza, Bernardo Gatto, Kazuhiro Fukui. Enhancing Discriminability of Randomized Time Warping for Motion Recognition. IAPR International Conference on Machine Vision Applications (MVA), 2017.
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  21. Bernardo Gatto, Lincon S. Souza, Eulanda Santos. A Deep Network Model based on Subspaces: A Novel Approach for Image Classification. IAPR International Conference on Machine Vision Applications (MVA), 2017.
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  22. Ryoma Yataka, Lincon S. Souza, Kazuhiro Fukui. Feature Point Extraction using 3D Separability Filter for Finger Shape Recognition. International Workshop on Frontiers of Computer Vision (IWFCV), 2017.
  23. Lincon S. Souza, Hideitsu Hino, Kazuhiro Fukui. 3D Object Recognition with Enhanced Grassmann Discriminant Analysis. ACCV Workshop (HIS), 2016.
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Preprints

  1. Kazuhiro Fukui, Pedro Valois, Lincon S. Souza, Takumi Kobayashi. Second-order difference subspace. arXiv:2409.08563, 2024.
    arXiv