A bio-inspired approach to condensing information

IEEE International Symposium on Information Theory - Proceedings

Volumn , Issue , 2011, Pages 2427-2431

  Mathar, Rudolf ^a   Schmeink, Anke ^a  

^a RWTH AACHEN UNIVERSITY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

A-DENSITY; BINARY INFORMATION; BIO-INSPIRED APPROACH; KNAPSACK PROBLEMS; MAXIMUM ENTROPY; MEASURE OF INFORMATION; MUTUAL INFORMATIONS; NEURAL INFORMATION PROCESSING; NOISY SENSORS; OPTIMALITY; OPTIMUM QUANTIZATION; OUTPUT DISTRIBUTION; SINGLE SOURCE; UPPER BOUND;

DATA HANDLING; ENTROPY; INFORMATION FUSION; INFORMATION THEORY; INTEGER PROGRAMMING; SENSOR DATA FUSION; SENSORS;

PARALLEL PROCESSING SYSTEMS;

EID: 80054809627     PISSN: 21578104     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISIT.2011.6034000     Document Type: Conference Paper

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