Peng Zhang

Affiliations:
  • National Disaster Reduction Center of China, Beijing, China
  • CAS, Institute of Applied Mathematics, Beijing, China


According to our database1, Peng Zhang authored at least 15 papers between 2009 and 2016.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2016
Hyperspectral Image Classification with Polynomial Laplacian Embedding.
Proceedings of the Intelligent Computing Methodologies - 12th International Conference, 2016

2015
Pre-Scaling Anisotropic Orthogonal Procrustes Analysis Based on Gradient Descent over Matrix Manifold.
Proceedings of the Advances in Swarm and Computational Intelligence, 2015

Supervised Feature Extraction of Hyperspectral Image by Preserving Spatial-Spectral and Local Topology.
Proceedings of the Intelligent Computing Theories and Methodologies, 2015

2014
Vision-Based 3-D Grasping of 3-D Objects With a Simple 2-D Gripper.
IEEE Trans. Syst. Man Cybern. Syst., 2014

2013
An Explicit Nonlinear Mapping for Manifold Learning.
IEEE Trans. Cybern., 2013

Manifold Learner Ensemble.
Proceedings of the Emerging Intelligent Computing Technology and Applications, 2013

An error analysis on locally linear embedding.
Proceedings of the 2013 IEEE International Conference on Granular Computing, 2013

2012
A new embedding quality assessment method for manifold learning.
Neurocomputing, 2012

Natural disaster information statistics study based on stratified random sampling survey statistical methods.
Proceedings of the 2012 IEEE International Conference on Granular Computing, 2012

Determination of ICESat sea surface height and comparing with TP data.
Proceedings of the 2012 IEEE International Conference on Granular Computing, 2012

2011
An improved local tangent space alignment method for manifold learning.
Pattern Recognit. Lett., 2011

Tracking feature extraction based on manifold learning framework.
J. Exp. Theor. Artif. Intell., 2011

2010
Learning an Intrinsic-Variable Preserving Manifold for Dynamic Visual Tracking.
IEEE Trans. Syst. Man Cybern. Part B, 2010

An online core vector machine with adaptive MEB adjustment.
Pattern Recognit., 2010

2009
The application of intrinsic variable preserving manifold learning method to tracking multiple people with occlusion reasoning.
Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009


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