Machine learning approach to color constancy

Neural Networks

Volumn 20, Issue 5, 2007, Pages 559-563

  Agarwal, Vivek ^a   Gribok, Andrei V ^b   Abidi, Mongi A ^c  

^a Purdue University   (United States)

^b U S ARMY MEDICAL RESEARCH AND MATERIEL COMMAND   (United States)

^c University of Tennessee   (United States)

Author keywords

Color constancy; Neural networks; Ridge regression; Support vector regression

Indexed keywords

BOOTSTRAPPING; COLOR CONSTANCY; RIDGE REGRESSION; SUPPORT VECTOR REGRESSION;

ALGORITHMS; COMPUTER VISION; LINEAR PROGRAMMING; NEURAL NETWORKS; REGRESSION ANALYSIS; UNCERTAINTY ANALYSIS;

SUPPORT VECTOR MACHINES;

ARTICLE; ARTIFICIAL NEURAL NETWORK; COLOR; COLORIMETRY; ILLUMINATION; LINEAR REGRESSION ANALYSIS; MACHINE LEARNING; MATHEMATICAL COMPUTING; PRIORITY JOURNAL; SUPPORT VECTOR MACHINE; VISION;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COLOR PERCEPTION; COMPUTER SIMULATION; PATTERN RECOGNITION, AUTOMATED; REGRESSION ANALYSIS;

EID: 34547123830     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neunet.2007.02.004     Document Type: Article

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