Learning Bayesian Networks with qualitative constraints

26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR

Volumn , Issue , 2008, Pages

  Tong, Yan ^a   Ji, Qiang ^b  

^a GE GLOBAL RESEARCH   (United States)

^b RENSSELAER POLYTECHNIC INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BAYESIAN NETWORKS; COMPUTATIONAL METHODS; COMPUTER APPLICATIONS; COMPUTER VISION; DISTRIBUTED PARAMETER NETWORKS; EDUCATION; ESTIMATION; FACE RECOGNITION; FEATURE EXTRACTION; GRAPHIC METHODS; IMAGE PROCESSING; INFERENCE ENGINES; INTELLIGENT NETWORKS; LEARNING SYSTEMS; MAXIMUM LIKELIHOOD; MAXIMUM LIKELIHOOD ESTIMATION; PARAMETER ESTIMATION; PATTERN RECOGNITION; SPEECH ANALYSIS; SPEECH RECOGNITION;

CLOSED-FORM SOLUTIONS; COMPUTER VISION PROBLEMS; DOMAIN EXPERTS; ESTIMATION METHODS; EXPECTATION-MAXIMIZATION ALGORITHMS; FACIAL ACTIONS; GEOMETRIC CONSTRAINTS; GRAPHICAL MODELS; INCOMPLETE DATUM; LEARNING BAYESIAN NETWORKS; LIMITED TRAINING DATA; MODEL LEARNING; MODEL PARAMETERS; PARAMETER LEARNING; PRIOR KNOWLEDGE; QUALITATIVE CONSTRAINTS; QUALITATIVE KNOWLEDGE; REAL IMAGE DATA; SPARSE DATA; TRAINING DATA;

KNOWLEDGE BASED SYSTEMS;

EID: 51949093102     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2008.4587368     Document Type: Conference Paper

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