Dimensionality reduction using covariance operator inverse regression

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

Volumn , Issue , 2008, Pages

  Kim, Minyoung ^a   Pavlovic, Vladimir ^a  

^a RUTGERS UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CANNING; CLUSTERING ALGORITHMS; COMPUTER VISION; DATA VISUALIZATION; FEATURE EXTRACTION; IMAGE PROCESSING; MATHEMATICAL OPERATORS; PATTERN RECOGNITION; REGRESSION ANALYSIS; SOLUTIONS;

CLOSED-FORM SOLUTIONS; CO-VARIANCE; COVARIANCE OPERATORS; COVARIATES; DIMENSIONALITY REDUCTION; DIMENSIONALITY REDUCTION ALGORITHMS; GRAM MATRICES; HIGH-DIMENSIONAL; HIGH-DIMENSIONAL DATA; INPUT AND OUTPUT; INVERSE REGRESSION; LOW-DIMENSIONAL REPRESENTATION; NON-LINEAR METHODS; NONLINEAR BASIS FUNCTIONS; OUTPUT DATA; PROBLEM DOMAINS; REGRESSION PROBLEMS; REGRESSOR DESIGN; STATISTICAL CORRELATIONS;

FOOD PROCESSING;

EID: 51949083415     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2008.4587404     Document Type: Conference Paper

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