Zobrazeno 1 - 10
of 17 133
pro vyhledávání: '"Zhang,Heng"'
Large Language Models (LLMs) have transformed artificial intelligence by excelling in complex natural language processing tasks. Their ability to generate human-like text has opened new possibilities for market research, particularly in conjoint anal
Externí odkaz:
http://arxiv.org/abs/2412.19363
There has been a longstanding dispute over which formalism is the best for representing knowledge in AI. The well-known "declarative vs. procedural controversy" is concerned with the choice of utilizing declarations or procedures as the primary mode
Externí odkaz:
http://arxiv.org/abs/2412.11855
This report presents our team's technical solution for participating in Track 3 of the 2024 ECCV ROAD++ Challenge. The task of Track 3 is atomic activity recognition, which aims to identify 64 types of atomic activities in road scenes based on video
Externí odkaz:
http://arxiv.org/abs/2410.23092
This report presents our team's solutions for the Track 1 of the 2024 ECCV ROAD++ Challenge. The task of Track 1 is spatiotemporal agent detection, which aims to construct an "agent tube" for road agents in consecutive video frames. Our solutions foc
Externí odkaz:
http://arxiv.org/abs/2410.23077
We prove a weaker version of a conjecture proposed by Qiao, Park and Koolen on diameter bounds of amply regular graphs and make new progress on Terwilliger's conjecture on finiteness of amply regular graphs. We achieve these results by a significantl
Externí odkaz:
http://arxiv.org/abs/2410.21055
This paper investigates a linear quadratic stochastic optimal control (LQSOC) problem with partial information. Firstly, by introducing two Riccati equations and a backward stochastic differential equation (BSDE), we solve this LQSOC problem under st
Externí odkaz:
http://arxiv.org/abs/2409.16924
We confirm a conjecture of Bonini et. al. on the precise Lin-Lu-Yau curvature values of conference graphs, i.e., strongly regular graphs with parameters $(4\gamma+1,2\gamma,\gamma-1,\gamma)$, with $\gamma\geq 2$. Our method only depends on the parame
Externí odkaz:
http://arxiv.org/abs/2409.06418
The neutron diffusion equation plays a pivotal role in the analysis of nuclear reactors. Nevertheless, employing the Physics-Informed Neural Network (PINN) method for its solution entails certain limitations. Traditional PINN approaches often utilize
Externí odkaz:
http://arxiv.org/abs/2407.10988
Publikováno v:
IEEE Robotics and Automation Letters, vol. 9, no. 6, pp. 5631-5638, June 2024
Reinforcement learning (RL) has emerged as a promising paradigm in complex and continuous robotic tasks, however, safe exploration has been one of the main challenges, especially in contact-rich manipulation tasks in unstructured environments. Focusi
Externí odkaz:
http://arxiv.org/abs/2406.13744
Absolute measurements were conducted to study the bremsstrahlung emission from ~5-25 keV electrons incident on three thick solid conductive compounds of MoSi$_2$, TiB$_2$ and ZrB$_2$. The additivity approximation was applied in the Monte Carlo PENELO
Externí odkaz:
http://arxiv.org/abs/2405.07276