Journals

1. Rui Zhu, Ziyu Wang, Naoya Sogi, Kazuhiro Fukui, Jinghao Xue, A Novel Separating Hyperplane Classification Framework to Unify Nearest-Class-Model Methods for High-Dimensional Data, IEEE Transactions on Neural Networks and Learning Systems, pp.1-11, 2019.

International Conferences

1. 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.
2. Lincon S. Souza, Naoya Sogi, Bernardo B. Gatto, Takumi Kobayashi, Kazuhiro Fukui, An Interface between Grassmann manifolds and vector spaces, CVPR Workshop DiffCVML, 2020.
3. Shin-Fang Ch’ng, Naoya Sogi, Pulak Purkait, Tat-Jun Chin, Kazuhiro Fukui, Resolving Marker Pose Ambiguity by Robust Rotation Averaging with Clique Constraints, International Conference on Robotics and Automation (ICRA), 2020.
4. Naoya Sogi, Lincon Souza, Kazuhiro Fukui, An Extension of Grassmann Discriminant Analysis for Image-set Based Recognition, ACML Workshop on Statistics & Machine Learning Researchers in Japan, 2019.
5. Akinari Sakai, Naoya Sogi, Kazuhiro Fukui, Gait Recognition Based on Constrained Mutual Subspace Method with CNN Features, International Conference on Machine Vision Applications (MVA), 2019.
6. Naoya Sogi, Taku Nakayama, Kazuhiro Fukui, A Method Based on Convex Cone Model for Image-Set Classification with CNN Features, International Joint Conference on Neural Networks (IJCNN), 2018. [arxiv]
   • Extension version is available at https://arxiv.org/abs/1903.06549 (Under review).
7. Naoya Sogi, Kazuhiro Fukui, Action Recognition Method Based on Sets of Time Warped ARMA Models, International Conference on Pattern Recognition (ICPR), 2018.