Rank: 1195 based on 92 downloads (last 30 days) and 2 files submitted
photo

Richang Hong

E-mail
Company/University
University of Science and Technology of China

Personal Profile:

Dr. Richang Hong.
University of Science and Technology of China

Professional Interests:
Image Processing, Machine Learning and Pattern Recognition

 

Watch this Author's files

 

Files Posted by Richang View all
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Updated   File Tags Downloads
(last 30 days) 		Comments Rating
06 Feb 2009 Principal Component Analysis for Large Matrix This function will occupy large storage space during running time. Author: Richang Hong pca large matrix, pattern recognition, dimension reducing, machine learning 57 0
  • 1.0
1.0 | 1 rating
04 Jan 2008 Objective Image Fusion Performance Measure Objective Image Fusion Performance Measure Author: Richang Hong image fusion objectiv..., image analysis 35 2
  • 4.0
4.0 | 1 rating
Comments and Ratings on Richang's Files View all
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Updated File Comment by Comments Rating
06 Feb 2009 Principal Component Analysis for Large Matrix This function will occupy large storage space during running time. Author: Richang Hong Jordan, Michael

03 Jan 2009 Objective Image Fusion Performance Measure Objective Image Fusion Performance Measure Author: Richang Hong wang, jun

very good
08 Jan 2008 Objective Image Fusion Performance Measure Objective Image Fusion Performance Measure Author: Richang Hong Liu, Bo

easy to use
Top Tags Applied by Richang
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dimension reducing, image analysis, image fusion objective evaluation, machine learning, pattern recognition
Files Tagged by Richang View all
  • 1 - 2 of
  • 2
Updated   File Tags Downloads
(last 30 days) 		Comments Rating
06 Feb 2009 Principal Component Analysis for Large Matrix This function will occupy large storage space during running time. Author: Richang Hong pca large matrix, pattern recognition, dimension reducing, machine learning 57 0
  • 1.0
1.0 | 1 rating
04 Jan 2008 Objective Image Fusion Performance Measure Objective Image Fusion Performance Measure Author: Richang Hong image fusion objectiv..., image analysis 35 2
  • 4.0
4.0 | 1 rating
 

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