Conditions for nonnegative independent component analysis

IEEE Signal Processing Letters

Volumn 9, Issue 6, 2002, Pages 177-180

  Plumbley, Mark ^a,b  

^a IEEE   (United Kingdom)

^b QUEEN MARY UNIVERSITY OF LONDON   (United Kingdom)

Author keywords

Independent component analysis (ICA); Nonnegative matrix factorization; Sparse coding

Indexed keywords

SPARSE CODING;

LEARNING ALGORITHMS; PROBABILITY DENSITY FUNCTION; SIGNAL ENCODING; SPURIOUS SIGNAL NOISE;

INDEPENDENT COMPONENT ANALYSIS;

EID: 0036612776     PISSN: 10709908     EISSN: None     Source Type: Journal    
DOI: 10.1109/LSP.2002.800502     Document Type: Article

References (8)

1. Learning the parts of objects by nonnegative matrix factorization
2. Independent component analysis - A new concept?
3. A class of neural networks for independent component analysis
4. What is the goal of sensory coding?
5. Modeling multiple-cause structure using rectification constraints
6. A multi-layer sparse coding network learns contour coding from natural images
7. Adaptive lateral inhibition for nonnegative ICA
8. A theory for learning by weight flow on Stiefel-Grassman manifold