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Scientists

Details of the Faculty or Staff
Name:  
Hou, Xinwen
Title:  
  
Highest Education:  
   Graduate
Office:  
   95 Zhongguancun East Rd., Haidian District, Beijing
Phone:  
   010-82610276
Zip Code:  
  
Fax:  
  
Email:  
   xwhou@nlpr.ia.ac.cn

Education and Appointments:
 

Full Name

Xinwen Hou

Gender

male

 

Position

 

Professional Title

Associate Professor

 

Personal Homepage

 

 

Contacts

xwhou@nlpr.ia.ac.cn

010-82610276

Room 1217, Automation Building, , No. 95 Zhongguancun East Road

 

Resume

1991.9-1995.6, Dept. of Physics, Zhengzhou Univ., Automation, Bachelor

1995.9 -1998.6, Dept. of Electronic Engineering, Univ. of Science and Technology of China, Communication and System, Master

1998.9-2001.6, Dept. of Mathematics, Beijing Univ., Applied Mathematics, Doctor

2001.7 -2003.12,  Dept. of Mathematics, Nankai Univ., PostDoc.

2004.1 –now, National Laboratory of Pattern Recognition, Institute of Automation, CAS, Associate Professor

 
 
 
 
 
 
 
 

R&D Scopes

Pattern Recognition and Machine Learning

 
 
 
 
 

Professional Experience

 

 
 
 
 

Academic Achievements

Mainly concentrate on pattern recognition and machine learning, and their application to image recognition. Current interests are subspace learning, AdaBoost, Support Vector Machines and manifold learning. In image recognition, mainly interest in face recognition, insect image recognition and text detection in nature scene. Main products: strategy and integration of digital content understanding, authentication platform in Linux, custom system of  electronic passport, trouble of moving freight car detection systemMain publications:

[1] S. Z. Li, J. Yan, X. W. Hou, Z. Y. Li, and H. J. Zhang, Learning Low Dimensional Invariant Signature of 3-D Object under Varying View and Illumination from 2-D Appearances, Proceedings of 8th IEEE International Conference on Computer Vision(ICCV01), 2001, vol. 1, pp. 635–640.

[2] X. W. Hou, S. Z. Li, H. J. Zhang, Q. S.  Cheng, Direct Appearance Models, Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition(CVPR01), 2001, vol. 1, pp. 828-833.

[3] S. Z. Li, X. W. Hou, H. J. Zhang, Q. S.  Cheng, Learning Spatially Localized, Parts-Based Representation Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition(CVPR01), 2001, vol. 1, pp. 207-212.

[4] S. C. Yan, X. W. Hou, S. Z. Li, H. J. Zhang, Q. S.  Cheng, Face Alignment Using View-Based Direct Appearance Models, Special Issue on Facial Image Processing, Analysis and Synthesis, International Journal of Imaging Systems and Technology, 2003, vol. 1, pp. 106-112.

[5] S. Z. Li, X. G. Lv, X. W. Hou, X. H. Peng, Q. S. Cheng, Learning Multi-View Face Subspaces and Facial Pose Estimation Using Independent Component Analysis, IEEE Transactions On Image Processing, 2005, vol. 16(6), pp. 705-712.

[6] Y. Wang, X. W. Hou, T. N. Tan, Recognize Multi-people Interactive Activity by PCA-HMMs, the 7th Asian Conference on Computer Vision (ACCV06), Lecture Notes in Computer Science, 2006, vol. 3581, pp. 160-169.

[7] X. W. Hou, C-L Liu, T. N. Tan, Learning Boosted Asymmetric Classifiers for Object Detection, Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 2006(CVPR06), Vol. 1, pp.330-338.

[8] X.B. Jin, C.-L. Liu, X.W. Hou, Prototype learning by margin-based conditional log-likelihood loss, Proc. 19th ICPR, Tampa, USA, 2008.

[9] Y.F. Pan, X.W. Hou, C.-L. Liu, A robust system to detect and localize texts in natural scene images, 8th IAPR Int. Workshop on DAS, Nara, Japan, Sep. 2008, 35-42.

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Research Interest:
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Honors:
Seleted Publication:

Supported Projects: