Dansong Cheng

According to our database1, Dansong Cheng authored at least 26 papers between 2008 and 2020.

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Bibliography

2020
Non-convex low-rank representation combined with rank-one matrix sum for subspace clustering.
Soft Comput., 2020

Affinity matrix with large eigenvalue gap for graph-based subspace clustering and semi-supervised classification.
Eng. Appl. Artif. Intell., 2020

2019
Sign correlation subspace for face alignment.
Soft Comput., 2019

A differential privacy noise dynamic allocation algorithm for big multimedia data.
Multim. Tools Appl., 2019

Sign-correlation cascaded regression for face alignment.
Multim. Tools Appl., 2019

A level set method for image segmentation based on Bregman divergence and multi-scale local binary fitting.
Multim. Tools Appl., 2019

An Active Exploration Method for Data Efficient Reinforcement Learning.
Int. J. Appl. Math. Comput. Sci., 2019

Utilizing Relevant RGB-D Data to Help Recognize RGB Images in the Target Domain.
Int. J. Appl. Math. Comput. Sci., 2019

Optimistic Sampling Strategy for Data-Efficient Reinforcement Learning.
IEEE Access, 2019

An Advanced Harmony Search Algorithm Based on Harmony Anchoring and Reverse Learning.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

2018
Image segmentation based on multi-region multi-scale local binary fitting and Kullback-Leibler divergence.
Signal Image Video Process., 2018

Data-Efficient Reinforcement Learning Using Active Exploration Method.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017
Double-noise-dual-problem approach to the augmented Lagrange multiplier method for robust principal component analysis.
Soft Comput., 2017

A global-local affinity matrix model via EigenGap for graph-based subspace clustering.
Pattern Recognit. Lett., 2017

Active contour driven by multi-scale local binary fitting and Kullback-Leibler divergence for image segmentation.
Multim. Tools Appl., 2017

Robust visual tracking based on L1 expanded template.
Proceedings of the 2017 International Conference on Machine Learning and Cybernetics, 2017

Low-Rank-Sparse Subspace Representation for Robust Regression.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
LRSR: Low-Rank-Sparse representation for subspace clustering.
Neurocomputing, 2016

Investigation on the construction of the Relevance Vector Machine based on cross entropy minimization.
Proceedings of the 22nd International Conference on Automation and Computing, 2016

2014
Intelligent pancreatitis diagnosis-based on relevance vector machine.
Proceedings of the 2014 International Conference on Machine Learning and Cybernetics, 2014

2013
On the construction of the relevance vector machine based on Bayesian Ying-Yang harmony learning.
Neural Networks, 2013

KCMAC-BYY: Kernel CMAC using Bayesian Ying-Yang learning.
Neurocomputing, 2013

Object tracking with Kalman filter and discrete cosine transform.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2013

Vision-based robot navigation using parallel Hough transform.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2013

2012
A Local-Context-Based Fuzzy Algorithm for Image Enhancement.
Proceedings of the Intelligent Science and Intelligent Data Engineering, 2012

2008
Multi-object Segmentation Based on Improved Pulse Coupled Neural Network.
Comput. Inf. Sci., 2008


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