Shifeng Weng

According to our database1, Shifeng Weng authored at least 14 papers between 2004 and 2016.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2016
Online kernel learning with nearly constant support vectors.
Neurocomputing, 2016

2015
Incremental multiple instance outlier detection.
Neural Comput. Appl., 2015

Solving one-class problem with outlier examples by SVM.
Neurocomputing, 2015

2013
On the Sample Complexity of Random Fourier Features for Online Learning: How Many Random Fourier Features Do We Need?
ACM Trans. Knowl. Discov. Data, 2013

Methods for Photomosaic Generation Based on Different Image Similarity and Division Strategies.
Proceedings of the Intelligence Science and Big Data Engineering, 2013

Robust non-negative matrix factorization via joint sparse and graph regularization.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Music playlist prediction via detecting song moods.
Proceedings of the 2013 IEEE China Summit and International Conference on Signal and Information Processing, 2013

Automatic Elements Extraction of Chinese Web News Using Prior Information of Content and Structure.
Proceedings of the 2nd IAPR Asian Conference on Pattern Recognition, 2013

2011
Topic model with constrainted word burstiness intensities.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2005
Exploring the structure of supervised data by Discriminant Isometric Mapping.
Pattern Recognit., 2005

Mixture Random Effect Model Based Meta-analysis for Medical Data Mining.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2005

Fault-Tolerant EM Algorithm for GMM in Sensor Networks.
Proceedings of The 2005 International Conference on Data Mining, 2005

2004
A New Adaptive Self-Organizing Map.
Proceedings of the Advances in Neural Networks, 2004

Learning the Supervised NLDR Mapping for Classification.
Proceedings of the Advances in Neural Networks, 2004


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