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pro vyhledávání: '"Zhang, Yulin"'
In this work, we propose a tracking method for multiple extended targets or unresolvable group targets based on the Variational Bayesian Inference (VBI). Firstly, based on the most commonly used Random Matrix Model (RMM), the joint states of a single
Externí odkaz:
http://arxiv.org/abs/2407.15226
Unsupervised 3D instance segmentation aims to segment objects from a 3D point cloud without any annotations. Existing methods face the challenge of either too loose or too tight clustering, leading to under-segmentation or over-segmentation. To addre
Externí odkaz:
http://arxiv.org/abs/2407.10084
Autor:
Zhang, Yulin, Shell, Dylan A.
Publikováno v:
Robotics: Science and Systems 2024
Unlike traditional cameras, event cameras measure changes in light intensity and report differences. This paper examines the conditions necessary for other traditional sensors to admit eventified versions that provide adequate information despite out
Externí odkaz:
http://arxiv.org/abs/2407.00563
A Stabilized Parametric Finite Element Method for Surface Diffusion with an Arbitrary Surface Energy
We proposed a structure-preserving stabilized parametric finite element method (SPFEM) for the evolution of closed curves under anisotropic surface diffusion with an arbitrary surface energy $\hat{\gamma}(\theta)$. By introducing a non-negative stabi
Externí odkaz:
http://arxiv.org/abs/2404.02083
Autor:
Zhang, Yulin, Shell, Dylan A.
Publikováno v:
WAFR 2024
What is the minimal information that a robot must retain to achieve its task? To design economical robots, the literature dealing with reduction of combinatorial filters approaches this problem algorithmically. As lossless state compression is NP-har
Externí odkaz:
http://arxiv.org/abs/2309.06664
Autor:
Zhang, Xiaojing, Zhang, Yulin
Publikováno v:
Asia Pacific Journal of Marketing and Logistics, 2023, Vol. 36, Issue 5, pp. 1171-1189.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/APJML-03-2023-0188
Autor:
Zhang, Yongtao, Pan, Yue, Zhang, Yulin, Li, Linling, Zhang, Li, Huang, Gan, Liang, Zhen, Zhang, Zhiguo
Recognizing human emotions from complex, multivariate, and non-stationary electroencephalography (EEG) time series is essential in affective brain-computer interface. However, because continuous labeling of ever-changing emotional states is not feasi
Externí odkaz:
http://arxiv.org/abs/2212.07088
Autor:
Zhang, Yulin, Shell, Dylan A.
State minimization of combinatorial filters is a fundamental problem that arises, for example, in building cheap, resource-efficient robots. But exact minimization is known to be NP-hard. This paper conducts a more nuanced analysis of this hardness t
Externí odkaz:
http://arxiv.org/abs/2209.04567
Autor:
Zhang, Yulin, Shell, Dylan A.
We study a class of filters -- discrete finite-state transition systems employed as incremental stream transducers -- that have application to robotics: e.g., to model combinatorial estimators and also as concise encodings of feedback plans/policies.
Externí odkaz:
http://arxiv.org/abs/2204.00184
Publikováno v:
In Applied Thermal Engineering 15 October 2024 255