Zobrazeno 1 - 10
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pro vyhledávání: '"Liu, Hai‐Ling"'
Multi-view Feature Extraction (MvFE) has wide applications in machine learning, image processing and other fields. When dealing with massive high-dimensional data, the performance of classical computer faces severe challenges due to MvFE involves exp
Externí odkaz:
http://arxiv.org/abs/2403.17444
The Quantum Alternating Operator Ansatz (QAOA+) is one of the Variational Quantum Algorithm (VQA) specifically developed to tackle combinatorial optimization problems by exploring the feasible space in search of a target solution. For constrained opt
Externí odkaz:
http://arxiv.org/abs/2312.06922
As a general framework, Matrix Exponential Dimensionality Reduction (MEDR) deals with the small-sample-size problem that appears in linear Dimensionality Reduction (DR) algorithms. High complexity is the bottleneck in this type of DR algorithm becaus
Externí odkaz:
http://arxiv.org/abs/2306.09606
Recently, Zhou et al. have proposed a novel Interpolation-based (INTERP) strategy to generate the initial parameters for the Parameterized Quantum Circuit (PQC) in Quantum Approximate Optimization Algorithm (QAOA). INTERP produces the guess of the in
Externí odkaz:
http://arxiv.org/abs/2306.06986
The Quantum Alternating Operator Ansatz (QAOA+) is an extension of the Quantum Approximate Optimization Algorithm (QAOA), where the search space is smaller in solving constrained combinatorial optimization problems. However, QAOA+ requires a trivial
Externí odkaz:
http://arxiv.org/abs/2211.15266
Autor:
Guo, Ming-Chao, Liu, Hai-Ling, Pan, Shi-Jie, Li, Wen-Min, Qin, Su-Juan, Huang, Xin-Yi, Gao, Fei, Wen, Qiao-Yan
Anomaly detection of sequences is a hot topic in data mining. Anomaly Detection using Piecewise Aggregate approximation in the Amplitude Domain (called ADPAAD) is one of the widely used methods in anomaly detection of sequences. The core step in the
Externí odkaz:
http://arxiv.org/abs/2209.08594
Mean Centering (MC) is an important data preprocessing technique, which has a wide range of applications in data mining, machine learning, and multivariate statistical analysis. When the data set is large, this process will be time-consuming. In this
Externí odkaz:
http://arxiv.org/abs/2208.02143
Discriminative Canonical Correlation Analysis (DCCA) is a powerful supervised feature extraction technique for two sets of multivariate data, which has wide applications in pattern recognition. DCCA consists of two parts: (i) mean-centering that subt
Externí odkaz:
http://arxiv.org/abs/2206.05526
Autor:
Liu, Hai-Ling, Qin, Su-Juan, Wan, Lin-Chun, Yu, Chao-Hua, Pan, Shi-Jie, Gao, Fei, Wen, Qiao-Yan
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 is very challenging because it involves expensive matrix operations. He
Externí odkaz:
http://arxiv.org/abs/2203.14451
Autor:
Pan, Shi-Jie, Wan, Lin-Chun, Liu, Hai-Ling, Wu, Yu-Sen, Qin, Su-Juan, Wen, Qiao-Yan, Gao, Fei
Neighborhood Preserving Embedding (NPE) is an important linear dimensionality reduction technique that aims at preserving the local manifold structure. NPE contains three steps, i.e., finding the nearest neighbors of each data point, constructing the
Externí odkaz:
http://arxiv.org/abs/2110.11541