Jian Hou

Orcid: 0000-0001-6515-1430

Affiliations:
  • Dongguan University of Technology, School of Computer Science and Technology, China
  • Bohai University, College of Engineering, Jinzhou, China (former)
  • Harbin Institute of Technology, Department of Astronautic Engineering, China (PhD 2007)


According to our database1, Jian Hou authored at least 64 papers between 2006 and 2023.

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

Timeline

Legend:

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Online presence:

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Bibliography

2023
Towards Parameter-Free Clustering for Real-World Data.
Pattern Recognit., 2023

Game-theoretic hypergraph matching with density enhancement.
Pattern Recognit., 2023

Weighted Multi-view Clustering Based on Internal Evaluation.
Proceedings of the MultiMedia Modeling - 29th International Conference, 2023

2022
Hypergraph matching via game-theoretic hypergraph clustering.
Pattern Recognit., 2022

2021
Efficient and Accurate Hypergraph Matching.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

2020
Enhancing Density Peak Clustering via Density Normalization.
IEEE Trans. Ind. Informatics, 2020

Density peak clustering based on relative density relationship.
Pattern Recognit., 2020

Efficient Game-Theoretic Hypergraph Matching.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Merging DBSCAN and Density Peak for Robust Clustering.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series, 2019

2018
Feature Combination via Clustering.
IEEE Trans. Neural Networks Learn. Syst., 2018

Density Based Cluster Growing via Dominant Sets.
Neural Process. Lett., 2018

Cluster merging based on a decision threshold.
Neural Comput. Appl., 2018

Enhanced Dominant Sets Clustering by Cluster Expansion.
IEEE Access, 2018

Enhancing Cluster Center Identification in Density Peak Clustering.
Proceedings of the Knowledge Science, Engineering and Management, 2018

A Centerness Peak Based Clustering Algorithm.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

A Game- Theoretic Hyper-Graph Matching Algorithm.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

A Target Dominant Sets Clustering Algorithm.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

2017
A Parameter-Independent Clustering Framework.
IEEE Trans. Ind. Informatics, 2017

Parameter independent clustering based on dominant sets and cluster merging.
Inf. Sci., 2017

An Improved Principal Component Regression for Quality-Related Process Monitoring of Industrial Control Systems.
IEEE Access, 2017

A Data-Driven Clustering Approach for Fault Diagnosis.
IEEE Access, 2017

Clustering Based on Dominant Set and Cluster Expansion.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Dominant Set Based Density Kernel and Clustering.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

An Improved Density Peak Clustering Algorithm.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2017 - 18th International Conference, Guilin, China, October 30, 2017

Density Normalization in Density Peak Based Clustering.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2017

An Enhanced Density Peak Based Clustering Algorithm.
Proceedings of the 4th IAPR Asian Conference on Pattern Recognition, 2017

2016
Feature Combination and the kNN Framework in Object Classification.
IEEE Trans. Neural Networks Learn. Syst., 2016

DSets-DBSCAN: A Parameter-Free Clustering Algorithm.
IEEE Trans. Image Process., 2016

Towards parameter-independent data clustering and image segmentation.
Pattern Recognit., 2016

A robust 2D Otsu's thresholding method in image segmentation.
J. Vis. Commun. Image Represent., 2016

A multivariate statistical combination forecasting method for product quality evaluation.
Inf. Sci., 2016

Recent advances on SVM based fault diagnosis and process monitoring in complicated industrial processes.
Neurocomputing, 2016

Fed-batch fermentation penicillin process fault diagnosis and detection based on support vector machine.
Neurocomputing, 2016

A MPRM-based approach for fault diagnosis against outliers.
Neurocomputing, 2016

An improved SVM integrated GS-PCA fault diagnosis approach of Tennessee Eastman process.
Neurocomputing, 2016

Dominant Set Based Data Clustering and Image Segmentation.
Proceedings of the MultiMedia Modeling - 22nd International Conference, 2016

An enhanced dominant sets clustering method.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

PCA and KPCA integrated Support Vector Machine for multi-fault classification.
Proceedings of the IECON 2016, 2016

Fault Detection and process monitoring of industrial process based on spherical kernel T-PLS.
Proceedings of the IECON 2016, 2016

A new density kernel in density peak based clustering.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Improving the performance of SVM-RFE on classification of pancreatic cancer data.
Proceedings of the IEEE International Conference on Industrial Technology, 2016

On visual vocabulary size in SVM classification.
Proceedings of the IEEE International Conference on Industrial Technology, 2016

A density based cluster extension method.
Proceedings of the IEEE International Conference on Industrial Technology, 2016

Density Based Dominant Sets Growing and Clustering.
Proceedings of the 2016 European Modelling Symposium, 2016

Density Based Clustering via Dominant Sets.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2016

2015
Evaluating classifier combination in object classification.
Pattern Anal. Appl., 2015

SVM and PCA based fault classification approaches for complicated industrial process.
Neurocomputing, 2015

Experimental study on dominant sets clustering.
IET Comput. Vis., 2015

Cluster Merging Based on Dominant Sets.
Proceedings of the Similarity-Based Pattern Recognition - Third International Workshop, 2015

Density Based Cluster Extension and Dominant Sets Clustering.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2015

2014
Robust Clustering Based on Dominant Sets.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Merging dominant sets and DBSCAN for robust clustering and image segmentation.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013
A simple feature combination method based on dominant sets.
Pattern Recognit., 2013

An experimental study on the universality of visual vocabularies.
J. Vis. Commun. Image Represent., 2013

A density-based enhancement to dominant sets clustering.
IET Comput. Vis., 2013

DSET++: A robust clustering algorithm.
Proceedings of the IEEE International Conference on Image Processing, 2013

2012
Dominant set and target clique extraction.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

A graph-theoretic approach to classifier combination.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
Evaluating Feature Combination in Object Classification.
Proceedings of the Advances in Visual Computing - 7th International Symposium, 2011

Towards a Universal and Limited Visual Vocabulary.
Proceedings of the Advances in Visual Computing - 7th International Symposium, 2011

2010
On Vocabulary Size in Bag-of-Visual-Words Representation.
Proceedings of the Advances in Multimedia Information Processing - PCM 2010, 2010

Image Matching Based on Representative Local Descriptors.
Proceedings of the Advances in Multimedia Modeling, 2010

2007
A multi-stage matching algorithm for mobile robot navigation.
Ind. Robot, 2007

2006
Stereo Mapping for A Prototype Lunar Rover.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2006


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