Kernel nonnegative matrix factorization without the pre-image problem

IEEE International Workshop on Machine Learning for Signal Processing, MLSP

Volumn , Issue , 2014, Pages

  Zhu, Fei ^a   Honeine, Paul ^a   Kallas, Maya ^b  

^a UNIVERSITÉ DE TECHNOLOGIE DE TROYES   (France)

^b UNIVERSITÉ DE LORRAINE   (France)

Author keywords

hyperspectral data; Kernel machines; nonnegative matrix factorization; pre image problem; reproducing kernel Hilbert space; unmixing problem

Indexed keywords

BLIND SOURCE SEPARATION; FACTORIZATION; IMAGE PROCESSING; ITERATIVE METHODS; REMOTE SENSING; SPECTROSCOPY;

HYPERSPECTRAL DATA; KERNEL MACHINE; NONNEGATIVE MATRIX FACTORIZATION; PRE-IMAGE PROBLEM; REPRODUCING KERNEL HILBERT SPACES; UNMIXING;

MATRIX ALGEBRA;

EID: 84912535632     PISSN: 21610363     EISSN: 21610371     Source Type: Conference Proceeding    
DOI: 10.1109/MLSP.2014.6958910     Document Type: Conference Paper

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