4 papers
Gaussian Mixture Model with Rare Events
Xuetong Li, Jing Zhou, Hansheng Wang
We study here a Gaussian Mixture Model (GMM) with rare events data. In this case, the commonly used Expectation-Maximization (EM) algorithm exhibits extremely slow numerical conver…
A Semiparametric Gaussian Mixture Model for Chest CT-based 3D Blood Vessel Reconstruction
Qianhan Zeng, Jing Zhou, Ying Ji +1
Computed tomography (CT) has been a powerful diagnostic tool since its emergence in the 1970s. Using CT data, three-dimensional (3D) structures of human internal organs and tissues…
Embedding Compression for Text Classification Using Dictionary Screening
Jing Zhou, Xinru Jing, Muyu Liu +1
In this paper, we propose a dictionary screening method for embedding compression in text classification tasks. The key purpose of this method is to evaluate the importance of each…
Automatic, Dynamic, and Nearly Optimal Learning Rate Specification by Local Quadratic Approximation
Yingqiu Zhu, Yu Chen, Danyang Huang +2
In deep learning tasks, the learning rate determines the update step size in each iteration, which plays a critical role in gradient-based optimization. However, the determination…