A multi-layer hybrid framework for dimensional emotion classification

MM'11 - Proceedings of the 2011 ACM Multimedia Conference and Co-Located Workshops

Volumn , Issue , 2011, Pages 933-936

  Nicolaou, Mihalis A ^a   Gunes, Hatice ^b   Pantic, Maja ^a,c  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

^b QUEEN MARY UNIVERSITY OF LONDON   (United Kingdom)

^c UNIVERSITY OF TWENTE   (Netherlands)

Author keywords

Classifier design and evaluation; Experimentation; Feature evaluation and selection; Human factors

Indexed keywords

AUTO-REGRESSIVE; CLASSIFIER DESIGN AND EVALUATION; EMOTION CLASSIFICATION; EXPERIMENTAL VALIDATIONS; EXPERIMENTATION; FACIAL EXPRESSIONS; FEATURE EVALUATION AND SELECTION; FEATURE SETS; FUSION LAYERS; GEOMETRIC FEATURE; GRAPHICAL MODEL; HYBRID FRAMEWORK; INTERNAL DYNAMICS; MAXIMUM LIKELIHOOD PRINCIPLE; PATTERN RECOGNITION PROBLEMS; SPATIOTEMPORAL CHARACTERISTICS;

GRAPHIC METHODS; HUMAN ENGINEERING; MAXIMUM LIKELIHOOD; PATTERN RECOGNITION;

CLASSIFICATION (OF INFORMATION);

EID: 84455188448     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2072298.2071906     Document Type: Conference Paper

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