Gang Chen

Affiliations:
  • SUNY at Buffalo, Department of Computer Science, NY, USA


According to our database1, Gang Chen authored at least 15 papers between 2014 and 2020.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
Revisiting hierarchy: Deep learning with orthogonally constrained prior for classification.
Pattern Recognit. Lett., 2020

2019
Context-aware Active Multi-Step Reinforcement Learning.
CoRR, 2019

2018
Deep ranking structural support vector machine for image tagging.
Pattern Recognit. Lett., 2018

2017
Category independent object discovery via background modeling.
Pattern Recognit. Lett., 2017

2016
Word Recognition with Deep Conditional Random Fields.
CoRR, 2016

Sequential Labeling with Online Deep Learning: Exploring Model Initialization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Joint visual denoising and classification using deep learning.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Maximum Margin Dirichlet Process Mixtures for Clustering.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Generalized K-fan Multimodal Deep Model with Shared Representations.
CoRR, 2015

Restricted Boltzmann Machine for Classification with Hierarchical Correlated Prior.
Proceedings of the 3rd International Conference on Learning Representations, 2015

2014
Compositional Structure Learning for Action Understanding.
CoRR, 2014

Sequential Labeling with online Deep Learning.
CoRR, 2014

Studies in Individuality: Can Students, Teachers and Schools Be Determined from Children's Handwriting?
Proceedings of the Computational Forensics, 2014

Removing Structural Noise in Handwriting Images using Deep Learning.
Proceedings of the 2014 Indian Conference on Computer Vision, 2014

A Noisy-Or Discriminative Restricted Boltzmann Machine for Recognizing Handwriting Style Development.
Proceedings of the 14th International Conference on Frontiers in Handwriting Recognition, 2014


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