Yongqiang Wang

Affiliations:
  • Microsoft Research Asia, Beijing, China
  • University of Hong Kong, Department of Computer Science, Hong Kong


According to our database1, Yongqiang Wang authored at least 8 papers between 2008 and 2011.

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

2011
Building compact recognizers of handwritten Chinese characters using precision constrained Gaussian model, minimum classification error training and parameter compression.
Int. J. Document Anal. Recognit., 2011

2010
A Study of Designing Compact Recognizers of Handwritten Chinese Characters Using Multiple-Prototype Based Classifiers.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

A Study of Discriminative Training for HMM-Based Online Handwritten Chinese/Japanese Character Recognition.
Proceedings of the International Conference on Frontiers in Handwriting Recognition, 2010

Sample-separation-margin based minimum classification error training of pattern classifiers with quadratic discriminant functions.
Proceedings of the IEEE International Conference on Acoustics, 2010

2009
Modeling inverse covariance matrices by expansion of tied basis matrices for online handwritten Chinese character recognition.
Pattern Recognit., 2009

Design Compact Recognizers of Handwritten Chinese Characters Using Precision Constrained Gaussian Models, Minimum Classification Error Training and Parameter Compression.
Proceedings of the 10th International Conference on Document Analysis and Recognition, 2009

2008
An ellipsoid constrained quadratic programming (ECQP) approach to MCE training of MQDF-based classifiers for handwriting recognition.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

A study of semi-tied covariance modeling for online handwritten Chinese character recognition.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008


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