Information Theory: Coding Theorems for Discrete Memoryless Systems
Information Theory: Coding Theorems for Discrete Memoryless Systems
On the J-divergence of intuitionistic fuzzy sets with its application to pattern recognition
Information Sciences: an International Journal
Viewpoint-based simplification using f-divergences
Information Sciences: an International Journal
α-divergence is unique, belonging to both f-divergence and Bregman divergence classes
IEEE Transactions on Information Theory
Divergence-based vector quantization
Neural Computation
The mathematics of divergence based online learning in vector quantization
ANNPR'10 Proceedings of the 4th IAPR TC3 conference on Artificial Neural Networks in Pattern Recognition
Dynamic Pricing Under a General Parametric Choice Model
Operations Research
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During past years Dragomir has contributed a lot of work providing different kinds of bounds on the distance, information and divergence measures. In this paper, we have unified some of his results using the relative information of type s and relating it with the Csiszár's f-divergence.