The criticality of prompt and precise traffic forecasting in optimizing
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We propose an efficient design of Transformer-based models for multivari...
We study time continuous branching processes with exponentially distribu...
Vehicle Re-Identification (Re-ID) aims to identify the same vehicle acro...
In this work, we introduce a nonlinear Lanchester model of NCW-type and ...
Bayesian Networks (BN) are probabilistic graphical models that are widel...
Probabilistic graphical models such as Bayesian networks are widely used...
It has been empirically observed that the flatness of minima obtained fr...
In this paper, we consider a general stochastic optimization problem whi...
In this paper, we propose a general collaborative sparse representation
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