scholarly journals A Privacy-Preserving Data Mining Method Based on Singular Value Decomposition and Independent Component Analysis

2011 ◽  
Vol 9 ◽  
pp. 124-132 ◽  
Author(s):  
Guang Li ◽  
Yadong Wang
Keyword(s):  
Data Mining ◽  
Singular Value Decomposition ◽  
Independent Component Analysis ◽  
Component Analysis ◽  
Singular Value ◽  
Independent Component ◽  
Mining Method ◽  
Privacy Preserving Data Mining ◽  
Data Mining Method ◽  
Value Decomposition

Digital Watermarking Techniques for Images

2014 ◽  
pp. 737-746
Author(s):  
Channapragada R. S. G. Rao ◽  
Vadlamani Ravi ◽  
Munaga. V. N. K. Prasad ◽  
E. V. Gopal
Keyword(s):  
Support Vector Machines ◽  
Singular Value Decomposition ◽  
Independent Component Analysis ◽  
Component Analysis ◽  
Singular Value ◽  
Independent Component ◽  
Support Vector ◽  
Vector Machines ◽  
Value Decomposition ◽  
Cryptographic Techniques

This Chapter presents a brief review of the work done during 1990-2013, in the application of intelligent techniques and independent component analysis to digital image watermarking. The review considers only the gray-scale and color images excluding other multimedia. The intelligent techniques considered are support vector machines, singular value decomposition and cryptographic techniques. The review is structured by considering the type of technique applied to solve the problem as an important dimension. Consequently the papers are grouped into the following four families, (i) Support vector machines, (ii) Singular value decomposition and (iii) Cryptographic Techniques (iv) Independent component analysis. Comparative analysis of different techniques is also presented. Finally, the review is concluded with future directions.

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