Lincon Souza

Researcher at the Artificial Intelligence Research Center (AIRC), National Institute of Advanced Industrial Science and Technology (AIST). I am a member of the Machine Learning Research Team.

Associate Professor (Collaborative Graduate School), Department of Computer Science, Graduate School of Systems and Information Engineering, University of Tsukuba.

Research interests

machine learning, pattern recognition, subspace learning, neural networks, Riemannian manifold/geometric machine learning.

Journals

Bojan Batalo, Lincon S. Souza, Keisuke Yamazaki, "Model selection methods for model-bridge simulation calibration", IEEE Access, 2025.

Maha Mahyub, Lincon S. Souza, Bojan Batalo, Kazuhiro Fukui, "Signal Latent Subspace: a new representation for Environmental Sound Classification", Applied Acoustics.

Lincon S. Souza, Naoya Sogi, Bernardo B. Gatto, Takumi Kobayashi, Kazuhiro Fukui, "Grassmannian learning mutual subspace method for image set recognition", Neurocomputing. [PDF]

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.

Bojan Batalo, Lincon S. Souza, Bernardo B. Gatto, Naoya Sogi, Kazuhiro Fukui, "Temporal-Stochastic Tensor Features for Action Recognition", Machine Learning with Applications. [PDF]

Lincon S. Souza, Bernardo B. Gatto, Jing-Hao Xue, Kazuhiro Fukui, "Enhanced Grassmann Discriminant Analysis with Randomized Time Warping for Motion Recognition", Pattern Recognition. [PDF]

Bernardo B. Gatto; Lincon S. Souza, Eulanda M. Santos, Kazuhiro Fukui, Waldir S. S. Júnior, Kenny V. Santos, "A semi-supervised convolutional neural network based on subspace representation for image classification", EURASIP Journal on Image and Video Processing. [PDF]

International conferences and workshops

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.

Lincon S. Souza, Bojan Batalo, Keisuke Yamazaki, "A geometric surrogate for simulation calibration", ICASSP 2023.

Takumi Kobayashi, Lincon S. Souza, Kazuhiro Fukui, "Domain-Sum Feature Transformation For Multi-Target Domain Adaptation", BMVC 2023.

Bojan Batalo, Lincon S. Souza, Keisuke Yamazaki, "Statistical moments for simulation calibration with model-bridge", International Conference on Mathematical Modeling in Physical Sciences, 2023.

Maha Mahyub, Lincon S. Souza, Bojan Batalo, Keisuke Yamazaki, "Random Fourier Surrogate for simulation calibration", International Conference on Mathematical Modeling in Physical Sciences, 2023.

Bojan Batalo, Lincon S. Souza, Naoya Sogi, Bernardo B. Gatto, Kazuhiro Fukui, "Analysis of Temporal Tensor Datasets on Product Grassmann Manifold", CVPR 2022 Workshop on Vision Datasets Understanding. [PDF]

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). [PDF]

Lincon S. Souza, Naoya Sogi, Bernardo B. Gatto, Takumi Kobayashi, Kazuhiro Fukui, "An Interface between Grassmann manifolds and vector spaces", CVPRW 2020 DiffCVML. [PDF]

Naoya Sogi, Lincon S. Souza, Bernardo B. Gatto, Kazuhiro Fukui, "Metric Learning with A-based Scalar Product for Image-set Recognition", CVPRW 2020 DiffCVML. [PDF]

Bernardo B. Gatto, Lincon S. Souza, Naoya Sogi, Juan Colonna, Eulanda M. Santos, Kazuhiro Fukui, "Discriminative Singular Spectrum Analysis for bioacoustic classification", Interspeech 2020.

Lincon S. Souza, Bernardo B. Gatto, Kazuhiro Fukui, "Classification of Bioacoustic Signals with Tangent Singular Spectrum Analysis ", ICASSP 2019. [PDF]

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", MVA2019. [PDF]

Naoya Sogi, Lincon S. Souza, Kazuhiro Fukui, "An Extension of Grassmann Discriminant Analysis for Image-set Based Recognition ", ACML 2019 Workshop on Statistics & Machine Learning Researchers in Japan (poster only).

Lincon S. Souza, Bernardo B. Gatto, Kazuhiro Fukui, "Grassmann Singular Spectrum Analysis for Bioacoustics Classification", ICASSP 2018. [PDF]

Erica K. Shimomoto, Lincon S. Souza, Bernardo B. Gatto, Kazuhiro Fukui, "Text Classification based on Word Subspace with Term-Frequency", IJCNN 2018. [PDF]

Bernardo B. Gatto, Anna Bogdanova, Lincon S. Souza, Eulanda M. dos Santos, "Hankel Subspace method for Efficient Gesture Representation",IEEE MLSP 2017, 2017. [PDF]

Lincon S. Souza, Bernardo Gatto, Kazuhiro Fukui, "Enhancing Discriminability of Randomized Time Warping for Motion Recognition",IAPR MVA 2017, 2017. [PDF]

Bernardo Gatto, Lincon S. Souza, Eulanda Santos, "A Deep Network Model based on Subspaces: A Novel Approach for Image Classification",IAPR MVA 2017, 2017. [PDF]

Ryoma Yataka, Lincon S. Souza, Kazuhiro Fukui, "Feature Point Extraction using 3D Separability Filter for Finger Shape Recognition",IWFCV 2017, 2017. [PDF]

Lincon S. Souza, Hideitsu Hino, Kazuhiro Fukui, "3D Object Recognition with Enhanced Grassmann Discriminant Analysis", ACCV 2016 Workshop (HIS 2016), 2016. [PDF]

Preprints

Pedro Valois, Erica K. Shimomoto, Lincon S. Souza, Kazuhiro Fukui, "Frame Representation Hypothesis: Multi-Token LLM Interpretability and Concept-Guided Text Generation", arXiv, 2024. [PDF]

Kazuhiro Fukui, Pedro Valois, Lincon S. Souza, Takumi Kobayashi,"Second-order difference subspace", arXiv, 2024. [PDF]

Lincon S. Souza, Naoya Sogi, Bernardo B. Gatto, Takumi Kobayashi, Kazuhiro Fukui, "Grassmannian learning mutual subspace method for image set recognition", arXiv, 2021. [PDF]