G.Kitagawa, "A Monte Carlo filtering and smoothing method for non-Gaussian nonlinear state space models", Proceedings of the 2nd U.S.-Japan Joint Seminar on Statistical Time Serie, pp.110 ~ 131 (1993)
N.J.Gordon, D.J.Salmond, and A.F.M.Smith,"Novel approach to nonlinear /non-Gaussian Bayesian state estimation", IEE Proceedings F - Radar and Signal Processing, Vol.140, Issue.2, pp.107 ~ 113 (1993)
P.J.Besl and N.D.MacKay," A Method for Registration of 3-D Shapes", IEEE Transactions on Pattern Recognition and Machine Intelligence, Vol.14, No.2, pp.239~ 256 (1992)
Jean-Paul Laumond,, "Model Structures and Concept Recognition: The Aspects of Learning for a Mobile Robot", Proceedings of the 8th International Joint Conference on Artificial Intelligence (IJCAI'83), Vol.2, pp.839 ~ 841 (1983)
S. Hochreiter and J. Schmidhuber, "Long Short-Term Memory", Neural Computation, Vol.9, No.8, pp.1735 ~ 1780 (1997)
Jeff Donahue, Lisa Anne Hendricks, Marcus Rohrbach, Subhashini Venugopalan, Sergio Guadarrama, Kate Saenko, Trevor Drrell, "Long-term Recurrent Convolutional Networks for Visual Recognition and Description", Proceedings of 28th IEEE Coference on Computer Vision and Pattern Recogniton(CVPR2015), pp.2625 ~ 2634 (2015)
Diederik P. Kingma and Max Welling "An Introduction to Variationl Autoencoders", Now Publishers (2019)
an J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, Yosha Bengio, "Generative Adversarial Networks" Proceedings of Neural Information Processing Systems Conference(NIPS), pp.2672 ~ 2680 (2014)
lec Radford, Luke Metz, Soumith Chintala, "Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks", Proceedings of International Conference on Learning Representations (ICLR2016) (2016)
Jakub Langr, Vladimir Bok, 大和田茂 訳「実践GAN ~ 敵対的生成ネットワークによる深層学習~」,マイナビ出版 (2020)
Dan Horgan, John Quan, David Budden, Gabriel Barth-Maron, Matteo Hessel, Hado van Hasselt, David Silver,"Distributed Prioritized Experience Replay", Proceedings of International Conference on Learning Representations(ICLR2018) (2018)
Steven Kapturowski, Georg Ostrovski, John Quan, Remi Munos, Will Dabney, "Recurrent Experience Replay in Distributed Reinforcement Learning", Proceedings of International Conference on Learning Representations (ICLR2019) (2019)
Randall C. Smith and Peter Cheeseman, "On the Representation and Estimation of Spatial Uncertainty", International Journal on Robotics Research, Vol.5, No.4, pp.56 ~ 68 (1986)
P. Biber and W. Strasser, "The normal distributions transform: a new approach to laser scan matching," Proceedings 2003 IEEE / RSJ International Conference on Intelligent Robots and Systems (IROS),pp. 2743 ~ 2748 (2003)
Joseph Redmon, Santosh Divvala, Ross Girshick, Ali Farhadi, "You Only Look Once: Unified, Real-Time Object Detection", Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR2015), pp.779 ~ 788 (2015)
Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang Fu, Alexander C. Berg, "SSD: Single Shot MultiBox Detector", Proceedings of Europian Conference on Computer Vision (ECCV2016), pp.21 ~ 37 (2016)