Ke Huang

Affiliations:
  • Google, Inc., Mountain View, CA, USA
  • Michigan State University, Department of Electrical and Computer Engineering, MI, USA (PhD 2007)
  • Siemens Corporate Research, Princeton, NJ, USA (2005 - 2006)
  • Tsinghua University, Beijing, China (former)


According to our database1, Ke Huang authored at least 11 papers between 2004 and 2008.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2008
Wavelet Feature Selection for Image Classification.
IEEE Trans. Image Process., 2008

2007
Edge-directed inference for microaneurysms detection in digital fundus images.
Proceedings of the Medical Imaging 2007: Image Processing, 2007

2006
Information-theoretic wavelet packet subband selection for texture classification.
Signal Process., 2006

Sparse Representation for Signal Classification.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Robust optic disk detection in retinal images using vessel structure and radon transform.
Proceedings of the Medical Imaging 2006: Image Processing, 2006

A Region Based Algorithm for Vessel Detection in Retinal Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

Rotation Invariant Texture Classification with Ridgelet Transform and Fourier Transform.
Proceedings of the International Conference on Image Processing, 2006

2005
Statistical partitioning of wavelet subbands for texture classification.
Proceedings of the 2005 International Conference on Image Processing, 2005

Mutual Information Based Subbband Selection for Wavelet Packet Based Image Classification.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

A Local Adaptive Algorithm for Microaneurysms Detection in Digital Fundus Images.
Proceedings of the Computer Vision for Biomedical Image Applications, 2005

2004
Choosing best basis in wavelet packets for fingerprint matching.
Proceedings of the 2004 International Conference on Image Processing, 2004


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