6 citations · 12 across the 5 of their papers we have counts for
8 papers
A quantum algorithm for solving eigenproblem of the Laplacian matrix of a fully connected weighted graph
Hai-Ling Liu, Su-Juan Qin, Lin-Chun Wan +4
Solving eigenproblem of the Laplacian matrix of a fully connected weighted graph has wide applications in data science, machine learning, and image processing, etc. However, this i…
Quantum Algorithms for Prediction Based on Ridge Regression
Menghan Chen, Chaohua Yu, Gongde Guo +1
We propose a quantum algorithm based on ridge regression model, which get the optimal fitting parameters w and a regularization hyperparameter α by analysing the training dataset.…
Bayesian machine learning for Boltzmann machine in quantum-enhanced feature spaces
Yusen Wu, Chao-hua Yu, Sujuan Qin +2
Bayesian learning is ubiquitous for implementing classification and regression tasks, however, it is accompanied by computationally intractable limitations when the feature spaces…
Quantum algorithm for logistic regression
Hai-Ling Liu, Chao-Hua Yu, Yu-Sen Wu +4
Logistic regression (LR) is an important machine learning model for classification, with wide applications in text classification, image analysis and medicine diagnosis, etc. Howev…
Quantum Conditional Random Field
Yusen Wu, Chao-Hua Yu, Binbin Cai +3
Conditional random field (CRF) is an important probabilistic machine learning model for labeling sequential data, which is widely utilized in natural language processing, bioinform…
Quantum algorithm for visual tracking
Chao-Hua Yu, Fei Gao, Chenghuan Liu +3
Visual tracking (VT) is the process of locating a moving object of interest in a video. It is a fundamental problem in computer vision, with various applications in human-computer…