Zobrazeno 1 - 10
of 77
pro vyhledávání: '"Xu, Anran"'
Autor:
Xu, Anran, Heagy, Lindsey J.
Regularization is critical for solving ill-posed geophysical inverse problems. Explicit regularization is often used, but there are opportunities to explore the implicit regularization effects that are inherent in a Neural Network structure. Research
Externí odkaz:
http://arxiv.org/abs/2312.04752
Learning how humans manipulate objects requires machines to acquire knowledge from two perspectives: one for understanding object affordances and the other for learning human's interactions based on the affordances. Even though these two knowledge ba
Externí odkaz:
http://arxiv.org/abs/2203.15709
Publikováno v:
In Chemical Engineering Journal 15 August 2024 494
Publikováno v:
In Chemical Engineering Science 15 August 2024 296
Publikováno v:
In LWT 1 June 2024 201
The beauty of synchronized dancing lies in the synchronization of body movements among multiple dancers. While dancers utilize camera recordings for their practice, standard video interfaces do not efficiently support their activities of identifying
Externí odkaz:
http://arxiv.org/abs/2107.13847
Autor:
Liu, Kai, Ding, Qiuyan, Wang, Na, Kou, Zongliang, Xu, Anran, Li, Hong, Zhao, Zhenyu, Jiao, Yilai, Gao, Xin
Publikováno v:
In Chemical Engineering Journal 1 April 2024 485
Publikováno v:
In Chemical Engineering Journal 15 February 2024 482
We propose a method for off-road drivable area extraction using 3D LiDAR data with the goal of autonomous driving application. A specific deep learning framework is designed to deal with the ambiguous area, which is one of the main challenges in the
Externí odkaz:
http://arxiv.org/abs/2003.04780
Publikováno v:
In Chemical Engineering Journal 15 December 2023 478