2018 - IEEE Fellow For contributions to cluster analysis and visual computing
2006 - ACM Senior Member
Yiu-ming Cheung focuses on Artificial intelligence, Pattern recognition, Cluster analysis, Computer vision and Robustness. As part of his studies on Artificial intelligence, Yiu-ming Cheung often connects relevant areas like Machine learning. His Cluster analysis study incorporates themes from Kernel embedding of distributions, Kernel method and Tree kernel.
His study in the field of Wavelet, Feature, Image and Frequency domain also crosses realms of Clutter. His studies deal with areas such as Subspace topology and Optimization problem, Mathematical optimization as well as Robustness. His work carried out in the field of Correlation clustering brings together such families of science as Radial basis function kernel and Variable kernel density estimation.
His scientific interests lie mostly in Artificial intelligence, Pattern recognition, Cluster analysis, Algorithm and Computer vision. His work deals with themes such as Machine learning and Data mining, which intersect with Artificial intelligence. His Pattern recognition research is multidisciplinary, incorporating elements of Pixel, Facial recognition system, Feature and Subspace topology.
His Cluster analysis research incorporates themes from Selection, Model selection and Expectation–maximization algorithm. The concepts of his Algorithm study are interwoven with issues in Theoretical computer science, Artificial neural network, Independent component analysis and Evolutionary algorithm, Mathematical optimization. Yiu-ming Cheung is interested in Wavelet, which is a field of Computer vision.
Yiu-ming Cheung mainly investigates Artificial intelligence, Pattern recognition, Cluster analysis, Algorithm and Image. His Artificial intelligence research is multidisciplinary, incorporating perspectives in Machine learning and Computer vision. The Feature extraction research Yiu-ming Cheung does as part of his general Pattern recognition study is frequently linked to other disciplines of science, such as HSL and HSV, therefore creating a link between diverse domains of science.
His study in Cluster analysis is interdisciplinary in nature, drawing from both Metric, Time complexity, Measure, Categorical variable and Ordinal number. His Algorithm study incorporates themes from Subspace topology, Matrix norm, Tensor, Rank and Principal component analysis. His work carried out in the field of Image brings together such families of science as Preprocessor and Feature.
His scientific interests lie mostly in Artificial intelligence, Pattern recognition, Cluster analysis, Facial recognition system and Feature extraction. His Artificial intelligence research incorporates elements of Optimization problem and Machine learning, Particle swarm optimization. The study incorporates disciplines such as Information hiding, Image, Contextual image classification, Pixel and Sparse matrix in addition to Pattern recognition.
His Cluster analysis research integrates issues from Matrix decomposition, Structure, Time complexity and Data set. Yiu-ming Cheung combines subjects such as Data modeling, Discriminative model, Missing data and Biometrics with his study of Facial recognition system. Yiu-ming Cheung has researched Feature extraction in several fields, including Representation, DUAL, Structure, Manifold and Linear programming.
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Segmentation of retinal blood vessels using the radial projection and semi-supervised approach
Xinge You;Qinmu Peng;Yuan Yuan;Yiu-ming Cheung.
Pattern Recognition (2011)
Agglomerative Fuzzy K-Means Clustering Algorithm with Selection of Number of Clusters
M.J. Li;M.K. Ng;Y.-m. Cheung;J.Z. Huang.
IEEE Transactions on Knowledge and Data Engineering (2008)
k -means: a new generalized k -means clustering algorithm
Pattern Recognition Letters (2003)
Robust Object Tracking via Key Patch Sparse Representation
Zhenyu He;Shuangyan Yi;Yiu-Ming Cheung;Xinge You.
IEEE Transactions on Systems, Man, and Cybernetics (2017)
Feature Selection and Kernel Learning for Local Learning-Based Clustering
Hong Zeng;Yiu-ming Cheung.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2011)
Joint sparse principal component analysis
Shuangyan Yi;Zhihui Lai;Zhenyu He;Yiu Ming Cheung.
Pattern Recognition (2017)
A Blind Watermarking Scheme Using New Nontensor Product Wavelet Filter Banks
Xinge You;Liang Du;Yiu-ming Cheung;Qiuhui Chen.
IEEE Transactions on Image Processing (2010)
Independent component ordering in ICA time series analysis
Yiu-ming Cheung;Lei Xu.
Selected Papers from the Ninth International Conference on Computational Intelligence and Security.
Yiu-ming Cheung;Yuping Wang;Hailin Liu;Xiaodong Li.
The Scientific World Journal (2013)
Semi-Supervised Maximum Margin Clustering with Pairwise Constraints
Hong Zeng;Yiu-Ming Cheung.
IEEE Transactions on Knowledge and Data Engineering (2012)
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