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Publication search results
found 16 matches
- 2024
- Joel Ferguson, Christopher Renton:
Port-Hamiltonian Representation of Mechanical Systems With Velocity Inputs. IEEE Control. Syst. Lett. 8: 1367-1372 (2024) - Xiaopeng Ren, Huifen Xia, Yongzhao Zhan:
Object-based video anomaly detection using multi-attention and adaptive velocity attribute representation learning. Multim. Syst. 30(1): 54 (2024) - 2023
- Ren Xin, Jie Cheng, Sheng Wang, Ming Liu:
Velocity Field: An Informative Traveling Cost Representation for Trajectory Planning. ROBIO 2023: 1-6 - 2022
- Abdulkadir Çelikkanat, Nikolaos Nakis, Morten Mørup:
Piecewise-Velocity Model for Learning Continuous-Time Dynamic Node Representations. LoG 2022: 36 - Ningtao Liu, Ruoxi Gao, Jing Yuan, Calire Park, Shuwei Xing, Shuiping Gou:
GRU-TV: Time- and velocity-aware GRU for patient representation on multivariate clinical time-series data. CoRR abs/2205.04892 (2022) - Jiawei Zhang:
Robot Basics: Representation, Rotation and Velocity. CoRR abs/2211.02786 (2022) - Abdulkadir Çelikkanat, Nikolaos Nakis, Morten Mørup:
Piecewise-Velocity Model for Learning Continuous-time Dynamic Node Representations. CoRR abs/2212.12345 (2022) - 2021
- Chen Qiao, Yuanhua Huang:
Representation learning of RNA velocity reveals robust cell transitions. Proc. Natl. Acad. Sci. USA 118(49): e2105859118 (2021) - Andrés F. Valencia-Duque, David Cárdenas-Peña, Andrés Marino Álvarez-Meza, Álvaro-Ángel Orozco-Gutierrez, Héctor Fabio Quintero Riaza:
Tdnn-Based Engine In-Cylinder Pressure Estimation from Shaft Velocity Spectral Representation. Sensors 21(6): 2186 (2021) - 2020
- Yonghwan Jeong, Jinsoo Yoo, Youngmin Yoon, Kyongsu Yi:
Collision Preventive Velocity Planning based on Static Environment Representation for Autonomous Driving in Occluded Region. IV 2020: 425-430 - 2019
- Jana Jost, Thomas Kirks, Stuart Chapman, Gerhard Rinkenauer:
Examining the Effects of Height, Velocity and Emotional Representation of a Social Transport Robot and Human Factors in Human-Robot Collaboration. INTERACT (2) 2019: 517-526 - Ryan Grgurich, Hugh T. Blair:
An uncertainty principle for neural coding: Conjugate representations of position and velocity are mapped onto firing rates and co-firing rates of neural spike trains. CoRR abs/1912.11126 (2019) - 2017
- Rico Jonschkowski, Roland Hafner, Jonathan Scholz, Martin A. Riedmiller:
PVEs: Position-Velocity Encoders for Unsupervised Learning of Structured State Representations. CoRR abs/1705.09805 (2017) - 2015
- Jianxing Zhang, Qin Yang, Jigang Li, Xianhai Meng, Xing Liang:
Representation of a velocity model with implicitly embedded interface information. Comput. Geosci. 82: 183-190 (2015) - 2009
- Kentaro Kotani, Toru Yu, Takafumi Asao, Ken Horii:
Representation of Velocity Information by Using Tactile Apparent Motion. HCI (2) 2009: 470-478 - 2001
- Gabriel Ramírez, Saïd Zeghloul:
Collision-free path planning for nonholonomic mobile robots using a new obstacle representation in the velocity space. Robotica 19(5): 543-555 (2001)
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