Structure-perceptron learning of a hierarchical log-linear model

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

Volumn , Issue , 2008, Pages

  Zhu, Long ^a   Ye, Xingyao ^b   Chen, Yuanhao ^c   Yuille, Alan ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b TSINGHUA UNIVERSITY   (China)

^c UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ALIGNMENT; ARTIFICIAL INTELLIGENCE; COMPUTER VISION; DEFORMATION; EDUCATION; ESTIMATION; FEATURE EXTRACTION; IMAGE PROCESSING; LEARNING SYSTEMS; MATHEMATICAL MODELS; PARAMETER ESTIMATION; PATTERN RECOGNITION; REGRESSION ANALYSIS;

ADABOOST; DATA SETS; FEATURE SELECTION; LOG-LINEAR MODELS; MEDIUM RANGE; MULTI VIEWS; MULTIPLE LEVELS; MULTIPLE SCALES; OBJECT LOCALIZATION; OBJECT MATCHING; PERCEPTRON ALGORITHMS; PERCEPTRON LEARNING; SHAPE DEFORMATIONS; SHAPE PARAMETERS; STATE-OF-THE-ART PERFORMANCE;

LEARNING ALGORITHMS;

EID: 51949098135     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2008.4587344     Document Type: Conference Paper

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