Yi Hong

Affiliations:
  • University of California, Los Angeles, Department of Computer Science, CA, USA (PhD 2013)
  • City University of Hong Kong, Department of Computer Science, Hong Kong (former)
  • Shanghai Jiaotong University, Department of Computer Science and Engineering, China (former)


According to our database1, Yi Hong authored at least 31 papers between 2005 and 2013.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2013
Global vs. Local: Component Based Learning for Classification and Image Understanding.
PhD thesis, 2013

2011
The convergence analysis and specification of the Population-Based Incremental Learning algorithm.
Neurocomputing, 2011

Subspace estimation of distribution algorithms: To perturb part of all variables in estimation of distribution algorithms.
Appl. Soft Comput., 2011

2010
Image thresholding based on Random spatial sampling and Majority voting.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

2009
Learning Assignment Order of Instances for the Constrained K-Means Clustering Algorithm.
IEEE Trans. Syst. Man Cybern. Part B, 2009

Resampling-based selective clustering ensembles.
Pattern Recognit. Lett., 2009

Decision-based median filter using k-nearest noise-free pixels.
Proceedings of the IEEE International Conference on Acoustics, 2009

Estimation of distribution algorithms making use of both high quality and low quality individuals.
Proceedings of the FUZZ-IEEE 2009, 2009

2008
Consensus unsupervised feature ranking from multiple views.
Pattern Recognit. Lett., 2008

To combine steady-state genetic algorithm and ensemble learning for data clustering.
Pattern Recognit. Lett., 2008

Unsupervised feature selection using clustering ensembles and population based incremental learning algorithm.
Pattern Recognit., 2008

Unsupervised data pruning for clustering of noisy data.
Knowl. Based Syst., 2008

A Robust Color Image Quantization Algorithm Based on Knowledge Reuse of K-MeansClustering Ensemble.
J. Multim., 2008

Unsupervised Video Shot Detection Using Clustering Ensemble with a Color Global Scale-Invariant Feature Transform Descriptor.
EURASIP J. Image Video Process., 2008

Edge Detection from Global and Local Views Using an Ensemble of Multiple Edge Detectors.
Proceedings of the Advances in Visual Computing, 4th International Symposium, 2008

Unsupervised Video Shot Segmentation Using Global Color and Texture Information.
Proceedings of the Advances in Visual Computing, 4th International Symposium, 2008

Using collaborative learning for image contrast enhancement.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Unsupervised clustering using hyperclique pattern constraints.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Genetic-guided semi-supervised clustering algorithm with instance-level constraints.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Data clustering using virtual population based incremental learning algorithm with similarity matrix encoding strategy.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

SVPCGA: Selection on virtual population based compact genetic algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Probabilistic and Graphical Model based Genetic Algorithm Driven Clustering with Instance-level Constraints.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
Unit Bit Importance Evolutionary Algorithm.
Soft Comput., 2007

Over-Selection: An attempt to boost EDA under small population size.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

A comprehensive comparison between real population based tournament selection and virtual population based tournament selection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2005
Convergence of Estimation of Distribution Algorithms in Optimization of Additively Noisy Fitness Functions.
Proceedings of the 17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2005), 2005

Search Space Filling and Shrinking Based to Solve Constraint Optimization Problems.
Proceedings of the Advances in Intelligent Computing, 2005

Genetic drift in univariate marginal distribution algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Optimization of noisy fitness functions with univariate marginal distribution algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

Adaptive population size for univariate marginal distribution algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

A Color Image Segmentation Algorithm by Using Region and Edge Information.
Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005


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