scholarly journals Neural Codes for Image Retrieval

2014 ◽  
pp. 584-599 ◽  
Author(s):  
Artem Babenko ◽  
Anton Slesarev ◽  
Alexandr Chigorin ◽  
Victor Lempitsky
Keyword(s):  
Image Retrieval ◽  
Neural Codes

Our understanding of neural codes rests on Shannon's foundations

2019 ◽  
Vol 42 ◽  
Author(s):  
Charles R. Gallistel
Keyword(s):  
Brain Structure ◽  
Neural Tissue ◽  
Neural Codes ◽  
Flow Of Information

Abstract Shannon's theory lays the foundation for understanding the flow of information from world into brain: There must be a set of possible messages. Brain structure determines what they are. Many messages convey quantitative facts (distances, directions, durations, etc.). It is impossible to consider how neural tissue processes these numbers without first considering how it encodes them.

A New Content-Based Image Retrieval Using the Multidimensional Generalization of Wald-Wolfowitz Runs Test

2009 ◽  
Vol 129 (1) ◽  
pp. 94-102 ◽  
Author(s):  
Thurdsak Leauhatong ◽  
Kazuhiko Hamamoto ◽  
Kiyoaki Atsuta ◽  
Shozo Kondo
Keyword(s):  
Image Retrieval ◽  
Content Based Image Retrieval ◽  
Multidimensional Generalization
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