CLC-Conference-Proceeding-2018

REFERENCES
i G. H. Golub and C. F. Van Loan, Matrix Computations, London: The
Johns Hopkins University Press, 1996.
ii
D. D. Lee and H. S. Seung, ""Learning the parts of objects by nonnegative
matrix factorization"," Nature, vol. 401, pp. 788-791, 1999.
iii
G. H. Golub and C. F. Van Loan, Matrix Computations, London: The
Johns Hopkins University Press, 1996.
iviv
G. H. Golub and C. F. Van Loan, Matrix Computations, London: The
Johns Hopkins University Press, 1996.
v
R. L. Burden and J. D. Faires, Numerical Analysis, Boston: PWS-Kent
Publishing Company, 1989. I. Jollife, Principal Component Analysis,
New York: Springer Series in Statistics, 2002.
vii
R. L. Burden and J. D. Faires, Numerical Analysis, Boston: PWS-Kent
Publishing Company, 1989. I. Jollife, Principal Component Analysis,
New York: Springer Series in Statistics, 2002.
viii
A. K. J. O. E. Hyvärinen, "Independent Component Analysis,"
Adaptive and Learning Systems for Signal Processing, Communications
and Control, John Wiley & Sohns, vol. 5, 2002.
ix
P. Paatero and U. Tapper, ""Positive matrix factorization: A
nonnegative factor model with optimal utilization of error estimates of
data values"," Environmetrics, vol. 5, pp. 111-126, 1994.
x
D. D. Lee and H. S. Seung, ""Learning the parts of objects by nonnegative
matrix factorization"," Nature, vol. 401, pp. 788-791, 1999.
xi
A. Cichocki, R. Zdunek, A. H. Phan and S.-I. Amari, Nonnegative
Matrix and Tensor Factorizations, United Kingdom: John Wiley & Sons,
Ltd, 2009.
xii
B. Dong, M. Lin and M. Chu, ""Nonnegative rank factorization via
rank reduction","
http://www4.ncsu.edu/mtchu/Research/Papers/Readme.html, 2008.
xiii
C. Boutsidis and E. Gallopoulos, "Svd based initialization: A head
start for nonnegative matrix factorization.," Pattern Recognition, vol. 41,
no. 4, pp. 1350 - 1362, 2008.
xiv
A. Cichocki, R. Zdunek, A. H. Phan and S.-I. Amari, Nonnegative
Matrix and Tensor Factorizations, United Kingdom: John Wiley & Sons,
Ltd, 2009.
xv
C. Boutsidis and E. Gallopoulos, "Svd based initialization: A head start
for nonnegative matrix factorization.," Pattern Recognition, vol. 41, no.
4, pp. 1350 - 1362, 2008.
xvi
P. C. Hansen, "Discrete Inverse Problems: Insight and Algorithms",
Philadelphia: SIAM, 2010.
xvii
L. Villarin, A. León and M. L. Baguer, ""GMRES precondicionado
con Wavelets. Un algoritmo de selección del umbral para la obtención
del patrón de dispersión"," Revista Investigación Operacional, vol. 34,
no. 2, 2013.
xviii
M. Berry and M. e. a. Browne, ""Algorithms and applications for
approximate nonnegative matrix factorization "," Computational
Statistics and Data Analysis, vol. 52, no. 1, pp. 155-173, 2007.
xix
M. e. a. Rezaei, ""An efficient initialization method for Nonnegative
Matrix Factorization"," Journal of Applied Sciences, vol. 11, no. 2, pp.
354-359, 2011.
xx
C. Boutsidis and E. Gallopoulos, "Svd based initialization: A head start
for nonnegative matrix factorization.," Pattern Recognition, vol. 41, no.
4, pp. 1350 - 1362, 2008.
xxi
M. Berry and M. e. a. Browne, ""Algorithms and applications for
approximate nonnegative matrix factorization "," Computational
Statistics and Data Analysis, vol. 52, no. 1, pp. 155-173, 2007.
xxii
P. Hoyer, ""Non-negative Matrix Factorization with Sparseness
Constraints"," Journal of Machine Learning Research, vol. 5, pp. 1457-
1469, 2004.
xxiii
M. Berry and M. e. a. Browne, ""Algorithms and applications for
approximate nonnegative matrix factorization "," Computational
Statistics and Data Analysis, vol. 52, no. 1, pp. 155-173, 2007.
xxiv
C. L. Lawson and R. J. Hanson, "Solving Least Squares Problems",
Philadelphia: SIAM, 1995.
xxv
Garza de Luna, Federico, Factorizaciones matriciales no negativas:
Algunos algoritmos y aplicaciones, Saltillo, Cohahuila, Mexico: Tesis de
Licenciatura en Matematica, 2013.
xxvi
A. Cichocki, R. Zdunek, A. H. Phan and S.-I. Amari, Nonnegative
Matrix and Tensor Factorizations, United Kingdom: John Wiley & Sons,
Ltd, 2009.
xxvii
G. H. Golub and C. F. Van Loan, Matrix Computations, London: The
Johns Hopkins University Press, 1996.
xxviii
A. Cichocki, R. Zdunek, A. H. Phan and S.-I. Amari, Nonnegative
Matrix and Tensor Factorizations, United Kingdom: John Wiley & Sons,
Ltd, 2009.
xxix
C. L. Lawson and R. J. Hanson, "Solving Least Squares Problems",
Philadelphia: SIAM, 1995.
xxx
C. L. Lawson and R. J. Hanson, "Solving Least Squares Problems",
Philadelphia: SIAM, 1995.
xxxi
D. D. Lee and H. S. Seung, ""Algorithms fon Nonegative Matrix
Factorization"," MIT Press, vol. 13, 2002.
xxxii
A. Cichocki, R. Zdunek, A. H. Phan and S.-I. Amari, Nonnegative
Matrix and Tensor Factorizations, United Kingdom: John Wiley & Sons,
Ltd, 2009.
xxxiii
A. Cichocki, R. Zdunek, A. H. Phan and S.-I. Amari, Nonnegative
Matrix and Tensor Factorizations, United Kingdom: John Wiley & Sons,
Ltd, 2009.
xxxiv
A. Janecek and T. Ying, "Using population based algorithms for
initializing Non negative Matrix Factorizations," LNCS , vol. 6729, pp.
307-316, 2011.
xxxv
Rezaei, Masoumeh, Boostani and Reza, "Using Genetic algorithm to
enhance nonnegative matrix factorization initialization," Expert Sustems,
vol. 31, no. 3, 2014.
xxxvi
A. Cichocki, R. Zdunek, A. H. Phan and S.-I. Amari, Nonnegative
Matrix and Tensor Factorizations, United Kingdom: John Wiley & Sons,
Ltd, 2009.
xxxvii
M. Montero Ceballos, ""Segmentación de imágenes de mamografías
usando técnicas espectrales"," Tesis de Diploma, Universidad de La
Habana, La Habana, 2017.
xxxviii
T. Chan and J. Shen, Image Processing and Analysis, Philadelphia:
SIAM, 2005.
xxxix
T. Chan and J. Shen, Image Processing and Analysis, Philadelphia:
SIAM, 2005.
xl
M. Montero Ceballos, ""Segmentación de imágenes de mamografías
usando técnicas espectrales"," Tesis de Diploma, Universidad de La
Habana, La Habana, 2017.
xli
C. e. Moreira, ""INbreast: Toward a Full-field Digital Mammographic
Database"," Academic Radiology, vol. 19, no. 2, 2012.
xlii
M. Montero Ceballos, ""Segmentación de imágenes de mamografías
usando técnicas espectrales"," Tesis de Diploma, Universidad de La
Habana, La Habana, 2017.
xliii
M. Montero Ceballos, ""Segmentación de imágenes de mamografías
usando técnicas espectrales"," Tesis de Diploma, Universidad de La
Habana, La Habana, 2017.
xliv
L. Villarin, A. León and M. L. Baguer, ""GMRES precondicionado
con Wavelets. Un algoritmo de selección del umbral para la obtención
del patrón de dispersión"," Revista Investigación Operacional, vol. 34,
no. 2, 2013.
xlv
A. Palmer, ""Eliminación de regiones especulares en imágenes
colposcópicas de cuello de útero"," Tesis de Diploma, Universidad de La
Habana, La Habana, 2015.
xlvi
A. Palmer, ""Eliminación de regiones especulares en imágenes
colposcópicas de cuello de útero"," Tesis de Diploma, Universidad de La
Habana, La Habana, 2015.
xlvii
Garza de Luna, Federico, Factorizaciones matriciales no negativas:
Algunos algoritmos y aplicaciones, Saltillo, Cohahuila, Mexico: Tesis de
Licenciatura en Matematica, 2013.
xlviii
Garza de Luna, Federico, Factorizaciones matriciales no negativas:
Algunos algoritmos y aplicaciones, Saltillo, Cohahuila, Mexico: Tesis de
Licenciatura en Matematica, 2013.
xlix
Garza de Luna, Federico, Factorizaciones matriciales no negativas:
Algunos algoritmos y aplicaciones, Saltillo, Cohahuila, Mexico: Tesis de
Licenciatura en Matematica, 2013.
l
Garza de Luna, Federico, Factorizaciones matriciales no negativas:
Algunos algoritmos y aplicaciones, Saltillo, Cohahuila, Mexico: Tesis de
Licenciatura en Matematica, 2013.
li
D. D. Lee and H. S. Seung, ""Learning the parts of objects by nonnegative
matrix factorization"," Nature, vol. 401, pp. 788-791, 1999.
lii
A. Cichocki, R. Zdunek, A. H. Phan and S.-I. Amari, Nonnegative
Matrix and Tensor Factorizations, United Kingdom: John Wiley &
Sons, Ltd, 2009.
liii
J. W. Demmel, Applied Numerical Linear Algebra, Philadelphia:
SIAM, 1997.