Information-geometric dimensionality reduction

IEEE Signal Processing Magazine

Volumn 28, Issue 2, 2011, Pages 89-99

  Carter, Kevin ^a   Raich, Raviv ^a   Finn, William ^b   Hero III, Alfred ^c  

^a OREGON STATE UNIVERSITY   (United States)

^b UNIVERSITY OF MICHIGAN   (United States)

^c IEEE   (United States)

Author keywords

Approximation methods; Data visualization; Geometry; Manifolds; Measurement; Principal component analysis; Probability distribution; Signal processing algorithms

Indexed keywords

APPROXIMATION ALGORITHMS; AUTOMOBILE ENGINE MANIFOLDS; DATA VISUALIZATION; GEOMETRY; MEASUREMENTS; PRINCIPAL COMPONENT ANALYSIS; SIGNAL PROCESSING; VISUALIZATION;

APPROXIMATION METHODS; DATA VECTORS; DIMENSIONALITY REDUCTION; GEOMETRIC DATA; LOW DIMENSIONAL EMBEDDING; LOW-DIMENSIONAL REPRESENTATION; MANIFOLD LEARNING; SIGNAL PROCESSING ALGORITHMS;

PROBABILITY DISTRIBUTIONS;

EID: 85032751662     PISSN: 10535888     EISSN: None     Source Type: Journal    
DOI: 10.1109/MSP.2010.939536     Document Type: Article

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