Multi-target sensor management using alpha-divergence measures

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2634, Issue , 2003, Pages 209-222

  Kreucher, Chris ^a   Kastella, Keith ^a   Hero, Alfred O ^b  

^a Veridian's Ann Arbor Res/Dvmt Ctr   (United States)

^b UNIVERSITY OF MICHIGAN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; PROBABILITY DENSITY FUNCTION; SENSOR NETWORKS;

COMPUTATIONAL ADVANTAGES; EXPECTED INFORMATIONS; INFORMATION DIVERGENCE; JOINT MULTITARGET PROBABILITY DENSITY; KULLBACK-LEIBLER DISTANCE; MULTIPLE TARGET TRACKING; PARTICLE FILTERING METHODS; RECURSIVE ESTIMATION;

TARGET TRACKING;

EID: 35248861604     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-36978-3_14     Document Type: Article

References (11)

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