- Makoto Yamada, Leonid Sigal, Michalis Raptis, Covariate Shift Adaptation for Discriminative 3D Pose Estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).
- Makoto Yamada, Akisato Kimura, Futoshi Naya, Hiroshi Sawada, "Change-Point Detection with Feature Selection in High-dimensional Time-Series Data," In Proceedings of International Joint Conference on Artificial Intelligence (IJCAI 2013).
- Song Liu, Makoto Yamada, Nigel Collier, Masashi Sugiyama, "Change-point detection in time-series data by relative density-ratio estimation," Neural Networks, vol.43, pp72-83, 2013.
- Makoto Yamada, Taiji Suzuki, Takafumi Kanamori, Hirotaka Hachiya, Masashi Sugiyama, "Relative Density-Ratio Estimation for Robust Distribution Comparison," Neural Computation vol. 25, no. 5, pp. 1324-1370, 2013.
- Akisato Kimura, Ryo Yonetani, Takatsugu Hirayama, "Computational models of human visual attention and their implementations: A survey," IEICE Transactions on Information and Systems, Vol.EE96-D, No.3, pp.562-578, March 2013.
- Akisato Kimura, Masashi Sugiyama, Hirokazu Kameoka, Hitoshi Sakano, "Designing various component analysis at will via generalized pairwise expression," IPSJ Transactions on Mathematical Modeling and its Applications, Vol.6, No.1, pp.136-145, March 2013.
- Akisato Kimura, Masashi Sugiyama, Takuho Nakano, Hirokazu Kameoka, Hitoshi Sakano, Eisaku Maeda, Katsuhiko Ishiguro, "SemiCCA: Efficient semi-supervised learning of canonical correlations," IPSJ Transactions on Mathematical Modeling and its Applications, Vol.6, No.1, pp.128-135, March 2013.
- Makoto Yamada, Gordon Wichern, Kazunobu Kondo, Masashi Sugiyama, and Hiroshi Sawada. "Noise Adaptive Optimization of Matrix Initialization for Frequency-Domain Independent Component Analysis," Digital Signal Processing, vol.13, no.1, pp.1-8, 2013.
- 木村昭悟，数原良彦，高橋寛幸，横山達彦 "画像検索でのユーザ行動を利用した大規模画像アノテーション," 電子情報通信学会論文誌 和文D，Vol.J96-D, No.8, August 2013.
