Strategies for reducing the complexity of symbolic models for activity recognition

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

Volumn 8722, Issue , 2014, Pages 295-300

  Yordanova, Kristina ^a   Nyolt, Martin ^a   Kirste, Thomas ^a  

^a UNIVERSITY OF ROSTOCK   (Germany)

Author keywords

Activity Recognition; Context awareness; Symbolic human behaviour models

Indexed keywords

PATTERN RECOGNITION; STATE SPACE METHODS; ARTIFICIAL INTELLIGENCE;

ACTIVITY RECOGNITION; CONTEXT- AWARENESS; HUMAN BEHAVIOURS; MODEL COMPLEXITY; PROBABILISTIC INFERENCE; SYMBOLIC LEVEL; SYMBOLIC MODEL; SYMBOLIC STATE SPACE;

BEHAVIORAL RESEARCH;

EID: 84921780977     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-10554-3_31     Document Type: Article

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