Output-associative RVM regression for dimensional and continuous emotion prediction

2011 IEEE International Conference on Automatic Face and Gesture Recognition and Workshops, FG 2011

Volumn , Issue , 2011, Pages 16-23

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

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

^b UNIVERSITY OF TWENTE   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

FACIAL EXPRESSIONS; INPUT AND OUTPUTS; INPUT FEATURES; INPUT PATTERNS; INPUT-OUTPUT; INTRINSIC MOTIVATION; NON-LINEAR; OUTPUT VECTORS; PREDICTION ACCURACY; PROBABILISTIC FRAMEWORK; PROOF OF CONCEPT; RELEVANCE VECTOR MACHINE; TEMPORAL WINDOWS; TRAINING DATA;

COMPUTER VISION; FACE RECOGNITION; FEATURE EXTRACTION; FORECASTING; GESTURE RECOGNITION;

REGRESSION ANALYSIS;

EID: 79958706548     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FG.2011.5771396     Document Type: Conference Paper

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