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  Reinforced EM Algorithm for Clustering with Gaussian Mixture Models 

  Tobin, Joshua; Ho, Chin Pang; Zhang, Mimi (2023)

  Methods that employ the EM algorithm for parameter estimation typically face the notorious yet unsolved problem that the initialization input significantly impacts the algorithm output. We here develop a Reinforced ...
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  Incorporating Ignorance within Game Theory: An Imprecise Probability Approach 

  Fares, Bernard; Zhang, Mimi (2023)

  Ignorance within non-cooperative games, reflected as a player’s uncertain prefer- ences towards a game’s outcome, is examined from a Bayesian point of view. This topic has had scarce treatment in the literature, which ...
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  Saddlepoint Approximation for the Generalized Inverse Gaussian Levy Process 

  Zhang, Mimi (2022)

  The generalized inverse Gaussian (GIG) Lévy process is a limit of compound Poisson processes, including the stationary gamma process and the stationary inverse Gaussian process as special cases. However, fitting the GIG ...
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  DCF: An Efficient and Robust Density-Based Clustering Method 

  Zhang, Mimi (2021)

  Density-based clustering methods have been shown to achieve promising results in modern data mining applications. A recent approach, Density Peaks Clustering (DPC), detects modes as points with high density and large ...
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  Semantic image segmentation based on spatial relationships and inexact graph matching 

  Dahyot, Rozenn (2020)

  We propose a method for semantic image segmentation, combining a deep neural network and spatial relationships between image regions, encoded in a graph representation of the scene. Our proposal is based on inexact graph ...

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