Dimensionality reduction by unsupervised regression

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

Volumn , Issue , 2008, Pages

  Carreira Perpiñán, Miguel Á ^a   Lu, Zhengdong ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b OREGON HEALTH AND SCIENCE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER VISION; FOOD PROCESSING; IMAGE PROCESSING; PATTERN RECOGNITION; SPECTRUM ANALYSIS;

DIMENSIONALITY REDUCTION; HIGH-DIMENSIONAL DATA; HIGH-TO-LOW; LAPLACIAN EIGENMAPS; LOCAL OPTIMUM; LOW-TO-HIGH; NON-LINEAR; OBJECTIVE FUNCTIONAL; REAL-WORLD PROBLEMS; SPECTRAL METHODS; UNIQUE SOLUTION;

FEATURE EXTRACTION;

EID: 51949113109     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2008.4587666     Document Type: Conference Paper

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