Thanh Minh Nguyen

IEEE Trans. Medical Imaging, 2016

Online Feature Selection Based on Fuzzy Clustering and Its Applications.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2016

A Consensus Model for Motion Segmentation in Dynamic Scenes.

[BibT_eX]

[DOI]

Qingming Jonathan Wu

IEEE Trans. Circuits Syst. Video Technol., 2016

Multi-view dynamic texture learning.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

2015

Two Fast and Robust Modified Gaussian Mixture Models Incorporating Local Spatial Information for Image Segmentation.

[BibT_eX]

[DOI]

J. Signal Process. Syst., 2015

Asymmetric Mixture Model With Simultaneous Feature Selection and Model Detection.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2015

A non-parametric Bayesian model for bounded data.

[BibT_eX]

[DOI]

Pattern Recognit., 2015

An Online Adaptive Fuzzy Clustering and Its Application for Background Suppression.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision Systems - 10th International Conference, 2015

An Online Unsupervised Feature Selection and its Application for Background Suppression.

[BibT_eX]

[DOI]

Proceedings of the 12th Conference on Computer and Robot Vision, 2015

Feature Ranking in Dynamic Texture Clustering.

[BibT_eX]

[DOI]

Proceedings of the 12th Conference on Computer and Robot Vision, 2015

2014

A Bayesian Bounded Asymmetric Mixture Model With Segmentation Application.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2014

An Unsupervised Feature Selection Dynamic Mixture Model for Motion Segmentation.

[BibT_eX]

[DOI]

Qingming Jonathan Wu

IEEE Trans. Image Process., 2014

Gaussian Mixture Model With Advanced Distance Measure Based on Support Weights and Histogram of Gradients for Background Suppression.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, 2014

Synthetic Aperture Radar Image Segmentation by Modified Student's t-Mixture Model.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2014

Bounded Asymmetrical Student's-t Mixture Model.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2014

Bounded generalized Gaussian mixture model.

[BibT_eX]

[DOI]

Pattern Recognit., 2014

Effective fuzzy clustering algorithm with Bayesian model and mean template for image segmentation.

[BibT_eX]

[DOI]

IET Image Process., 2014

Image segmentation by dirichlet process mixture model with generalised mean.

[BibT_eX]

[DOI]

IET Image Process., 2014

Asymmetric mixture model with variational Bayesian learning.

[BibT_eX]

[DOI]

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013

Incorporating Mean Template Into Finite Mixture Model for Image Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2013

Multiresolution Based Gaussian Mixture Model for Background Suppression.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2013

Dynamic Fuzzy Clustering and Its Application in Motion Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2013

A Nonsymmetric Mixture Model for Unsupervised Image Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2013

Fast and Robust Spatially Constrained Gaussian Mixture Model for Image Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2013

A Robust Fuzzy Algorithm Based on Student's t-Distribution and Mean Template for Image Segmentation Application.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2013

A finite mixture model for detail-preserving image segmentation.

[BibT_eX]

[DOI]

Signal Process., 2013

Variational Bayes and Localized Feature Selection for Student's T-Mixture Models.

[BibT_eX]

[DOI]

Int. J. Pattern Recognit. Artif. Intell., 2013

Modified student's <i>t</i>-hidden Markov model for pattern recognition and classification.

[BibT_eX]

[DOI]

Qingming Jonathan Wu

IET Signal Process., 2013

Image segmentation by a new weighted student's t-mixture model.

[BibT_eX]

[DOI]

IET Image Process., 2013

A fuzzy logic model based Markov random field for medical image segmentation.

[BibT_eX]

[DOI]

Evol. Syst., 2013

Image segmentation by a robust generalized fuzzy c-means algorithm.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2013

An effective fuzzy clustering algorithm for image segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2013

A detail-preserving mixture model for image segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2013

Bounded asymmetric mixture model for medical image segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2013

Multivariate Student's-t mixture model for bounded support data.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2013

Image segmentation by a robust Modified Gaussian Mixture Model.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2013

A Dynamic Bayesian Framework for Motion Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Tenth Conference on Computer and Robot Vision, 2013

2012

Gaussian-Mixture-Model-Based Spatial Neighborhood Relationships for Pixel Labeling Problem.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part B, 2012

Robust Student's-t Mixture Model With Spatial Constraints and Its Application in Medical Image Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2012

Bayesian feature selection and model detection for student's t-mixture distributions.

[BibT_eX]

[DOI]

Proceedings of the 21st International Conference on Pattern Recognition, 2012

A robust non-symmetric mixture models for image segmentation.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Bilateral filter based mixture model for image segmentation.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Conference on Image Processing, 2012

2011

Dirichlet Gaussian mixture model: Application to image segmentation.

[BibT_eX]

[DOI]

Image Vis. Comput., 2011

FPGA Implementation of Blob Recognition.

[BibT_eX]

[DOI]

Jian Xiong

Proceedings of the Canadian Conference on Computer and Robot Vision, 2011

A Fuzzy C-Means Based Spatial Pixel and Membership Relationships for Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Canadian Conference on Computer and Robot Vision, 2011

2010

An extension of the standard mixture model for image segmentation.

[BibT_eX]

[DOI]

Siddhant Ahuja

IEEE Trans. Neural Networks, 2010

2009

A Real-Time Ellipse Detection Based on Edge Grouping.

[BibT_eX]

[DOI]

Siddhant Ahuja

Proceedings of the IEEE International Conference on Systems, 2009

2008

A Combination of Positive and Negative Fuzzy Rules for Image Classification Problem.

[BibT_eX]

[DOI]

Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

Maximum likelihood neural network based on the correlation among neighboring pixels for noisy image segmentation.

[BibT_eX]

[DOI]