Optimization problems in statistical object recognition

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

Volumn 1223, Issue , 1997, Pages 311-326

  Hornegger, Joachim ^a   Niemann, Heinrich ^a  

^a Lehrstuhl für Mustererkennung Informatik 5   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER VISION; GLOBAL OPTIMIZATION; IMAGE SEGMENTATION; MAXIMUM PRINCIPLE; NORMAL DISTRIBUTION; OBJECT RECOGNITION; PATTERN RECOGNITION; SIMULATED ANNEALING; STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

3D OBJECT RECOGNITION; ADAPTIVE RANDOM SEARCH; COMPLEX OPTIMIZATION PROBLEMS; EXPECTATION-MAXIMIZATION ALGORITHMS; GLOBAL OPTIMIZATION TECHNIQUES; OPTIMIZATION PROBLEMS; STATISTICAL FRAMEWORK; STATISTICAL PRINCIPLES;

OPTIMIZATION;

EID: 84958634584     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-62909-2_88     Document Type: Conference Paper

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