1 |
P. Comon and C. Jutten, Handbook of Blind Source Separation: Independent Component Analysis and Applications, Oxford: Academic Press, 2010.
|
2 |
P. Comon, "Independent Component Analysis, A New Concept?" Signal Process., vol. 36, no. 3, Apr. 1994, pp. 287-314.
DOI
ScienceOn
|
3 |
J. Nascimento and J. Dias, "Does Independent Component Analysis Play a Role in Unmixing Hyperspectral Data?" IEEE Trans. Geosci. Remote Sens., vol. 43, no. 1, Jan. 2005, pp. 175- 187.
DOI
ScienceOn
|
4 |
C.-I. Chang, Hyperspectral Data Exploitation: Theory and Applications, Hoboken, NJ: John Wiley & Sons, Inc., 2007.
|
5 |
V.P. Pauce et al., "Unmixing Spectral Data for Space Objects Using Independent Component Analysis and Nonnegative Matrix Factorization," Proc. ATC, 2004.
|
6 |
N. Dobigeon et al., "Bayesian Separation of Spectral Sources under Non-negativity and Full Additivity Constraints," Signal Process., vol. 89, no. 12, Dec. 2009, pp. 2657-2669.
DOI
ScienceOn
|
7 |
Y. Sun et al., "Postprocessing and Sparse Blind Source Separation of Positive and Partially Overlapped Data," Signal Process., vol. 91, no. 8, Aug. 2011, pp. 1838-1851.
DOI
ScienceOn
|
8 |
R.-C. Henry, "Multivariate Receptor Models - Current Practice and Future Trends," Chemom. Intell. Lab. Syst., vol. 60, no. 1-2, Jan. 2002, pp. 43-48.
DOI
ScienceOn
|
9 |
M.-D. Plumbley et al., "Automatic Music Transcription and Audio Source Separation," Cybern. Syst., vol. 33, no. 6, 2002, pp. 603-627.
DOI
|
10 |
S. Abdallah and M. Plumbley, "Polyphonic Transcription by Nonnegative Sparse Coding of Power Spectra," Proc. ISMIR, Barcelona, Spain, 2004, pp. 318-325.
|
11 |
M.-D. Plumbley, "Algorithms for Nonnegative Independent Component Analysis," IEEE Trans. Neural Netw., vol. 4, no. 3, May 2003, pp. 534-543.
|
12 |
D.-D. Lee and H.-S. Seung, "Learning the Parts of Objects by Non-negative Matrix Factorization," Nature, vol. 401, Oct. 1999, pp. 788-791.
DOI
ScienceOn
|
13 |
D.-D. Lee and H.-S. Seung, "Algorithms for Non-negative Matrix Factorization," Proc. NIPS, Cambridge, MA: MIT Press, 2001, pp. 556-562.
|
14 |
G.-F. Harpur, Low Entropy Coding with Unsupervised Neural Networks, doctoral dissertation, University of Cambridge, 1997.
|
15 |
M.-D. Plumbley, "Conditions for Nonnegative Independent Component Analysis," IEEE Signal Process. Lett., vol. 9, no. 6, June 2002, pp. 177-180.
DOI
ScienceOn
|
16 |
E. Oja and M.-D. Plumbley, "Blind Separation of Positive Sources Using Non-negative PCA," Proc. ICABSS, Nara, Japan, 2003, pp. 11-16.
|
17 |
M.-D. Plumbley and E. Oja, "A 'Nonnegative PCA' Algorithm for Independent Component Analysis," IEEE Trans. Neural Netw., vol. 15, no. 1, Jan. 2004, pp. 66-76.
DOI
ScienceOn
|
18 |
A. Bertrand and M. Moonen, "Blind Separation of Non-negative Source Signals Using Multiplicative Updates and Subspace Projection," Signal Process., vol. 90, no. 10, Oct. 2010, pp. 2877- 2890.
DOI
ScienceOn
|
19 |
Z. Yang and J. Laaksonen, "Multiplicative Updates for Nonnegative Projections," Neurocomputing, vol. 71, no. 1-3, Dec. 2007, pp. 363-373.
DOI
ScienceOn
|
20 |
A. Cichocki and S. Amari, "Extended SMART Algorithms for Non-negative Matrix Factorization," Proc. AISC, Zakopane, Poland, 2006, pp. 548-562.
|
21 |
H. Lutkepohl, Handbook of Matrices, Chichester: John Wiley & Sons Ltd., 1996.
|
22 |
A. Cichocki et al., ICALAB Toolboxes. http://www.bsp.brain. riken.jp/ICALAB
|