Invariance of principal components under low-dimensional random projection of the data

Proceedings - International Conference on Image Processing, ICIP

Volumn , Issue , 2012, Pages 937-940

  Qi, Hanchao ^a   Hughes, Shannon M ^a  

^a UCB 450   (United States)

Author keywords

Compressive sensing; Hyperspectral data; Low rank matrix recovery; Principal component analysis; Random projections

Indexed keywords

COMPRESSIVE SENSING; DATA SET; HIGH DIMENSIONAL DATA; HYPERSPECTRAL DATA; LOW-RANK MATRIX RECOVERIES; NUMBER OF DATUM; PRINCIPAL COMPONENTS; RANDOM PROJECTIONS; RANDOM SUBSPACES; REAL-WORLD DATASETS; SCALING FACTORS;

IMAGE PROCESSING; PRINCIPAL COMPONENT ANALYSIS; SIGNAL RECONSTRUCTION;

ALGORITHMS;

EID: 84875872601     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2012.6467015     Document Type: Conference Paper

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