Hongbo Zhou

Affiliations:
  • Montclair State University, Montclair, NJ, USA
  • Southern Illinois University Carbondale, IL, USA (Ph.D.)


According to our database1, Hongbo Zhou authored at least 13 papers between 2008 and 2015.

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

Timeline

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PhD thesis 
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Bibliography

2015
A Scalable Projective Scaling Algorithm for l<sub>p</sub> Loss With Convex Penalizations.
IEEE Trans. Neural Networks Learn. Syst., 2015

2014
A Minimax Framework for Classification with Applications to Images and High Dimensional Data.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Discriminative dictionary learning via shared latent structure for object recognition and activity recognition.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

2011
The Fisher-Markov Selector: Fast Selecting Maximally Separable Feature Subset for Multiclass Classification with Applications to High-Dimensional Data.
IEEE Trans. Pattern Anal. Mach. Intell., 2011

O(N) implicit subspace embedding for unsupervised multi-scale image segmentation.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
Weighted Kernel Density Estimation of the Prepulse Inhibition Test.
Proceedings of the 6th World Congress on Services, 2010

Reparameterization based consistent graph-structured linear programs.
Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

Sufficient Conditions for Generating Group Level Sparsity in a Robust Minimax Framework.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2009
A New Computational Tool for the Post Session Analysis of the Prepulse Inhibition Test in Neural Science.
Proceedings of the 12th IEEE International Conference on Computational Science and Engineering, 2009

Fast Fusion of Medical Images Based on Bayesian Risk Minimization and Pixon Map.
Proceedings of the 12th IEEE International Conference on Computational Science and Engineering, 2009

A self-organizing map and its modeling for discovering malignant network traffic.
Proceedings of the 2009 IEEE Symposium on Computational Intelligence in Cyber Security, 2009

2008
A Model to Use Denied Internet Traffic to Indirectly Discover Internal Network Security Problems.
Proceedings of the 2008 IEEE International Performance, 2008

Prediction of Protein Function Using Graph Container and Message Passing.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2008


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