Infinite hidden conditional random fields for human behavior analysis

IEEE Transactions on Neural Networks and Learning Systems

Volumn 24, Issue 1, 2013, Pages 170-177

  Bousmalis, Konstantinos ^a   Zafeiriou, Stefanos ^a   Morency, Louis Philippe ^c   Pantic, Maja ^a,b  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

^b UNIVERSITY OF TWENTE   (Netherlands)

^c Institute for Creative Technologies ^*  (United States)

Author keywords

Discriminative models; Hidden conditional random fields; Nonparametric bayesian learning

Indexed keywords

CLASSIFICATION TASKS; DISCRIMINATIVE MODELS; HIDDEN CONDITIONAL RANDOM FIELDS; HIERARCHICAL DIRICHLET PROCESS; HUMAN BEHAVIOR ANALYSIS; LATENT VARIABLE MODELS; MARKOV CHAIN MONTE CARLO; NON-PARAMETRIC BAYESIAN;

MONTE CARLO METHODS;

RANDOM PROCESSES;

ALGORITHM; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BEHAVIOR; COMPUTER SIMULATION; HUMAN; MONTE CARLO METHOD; PROBABILITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BEHAVIOR; COMPUTER SIMULATION; HUMANS; MARKOV CHAINS; MONTE CARLO METHOD; PATTERN RECOGNITION, AUTOMATED;

EID: 84884943362     PISSN: 2162237X     EISSN: 21622388     Source Type: Journal    
DOI: 10.1109/TNNLS.2012.2224882     Document Type: Article

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