Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Yue Rong
Vorobyov, S.A.
Gershman, A.B.
and
Sidiropoulos, N.D.
2003.
Blind spatial signature estimation using time-varying user power loading and parallel factor analysis.
p.
79.
Sidiropoulos, N.D.
2004.
Low-rank decomposition of multi-way arrays: a signal processing perspective.
p.
52.
ten Berge, Jos M. F.
2004.
Simplicity and typical rank of three‐way arrays, with applications to Tucker‐3 analysis with simple cores.
Journal of Chemometrics,
Vol. 18,
Issue. 1,
p.
17.
ten Berge, Jos M. F.
2004.
Partial uniqueness in CANDECOMP/PARAFAC.
Journal of Chemometrics,
Vol. 18,
Issue. 1,
p.
12.
ten Berge, Jos M.F
Sidiropoulos, Nikolaos D
and
Rocci, Roberto
2004.
Typical rank and indscal dimensionality for symmetric three-way arrays of order I×2×2 or I×3×3.
Linear Algebra and its Applications,
Vol. 388,
Issue. ,
p.
363.
Stegeman, Alwin
Berge, Jos M. F. Ten
and
Lathauwer, Lieven De
2006.
Sufficient conditions for uniqueness in Candecomp/Parafac and Indscal with random component matrices.
Psychometrika,
Vol. 71,
Issue. 2,
p.
219.
Stegeman, Alwin
and
Ten Berge, Jos M.F.
2006.
Kruskal's condition for uniqueness in Candecomp/Parafac when ranks and -ranks coincide.
Computational Statistics & Data Analysis,
Vol. 50,
Issue. 1,
p.
210.
Stegeman, Alwin
Berge, Jos M. F. Ten
and
Lathauwer, Lieven De
2006.
Sufficient conditions for uniqueness in Candecomp/Parafac and Indscal with random component matrices.
Psychometrika,
Vol. 71,
Issue. 2,
p.
219.
Bro, Rasmus
2006.
Review on Multiway Analysis in Chemistry—2000–2005.
Critical Reviews in Analytical Chemistry,
Vol. 36,
Issue. 3-4,
p.
279.
Olsson, R.K.
and
Hansen, L.K.
2006.
Blind Separation of More Sources than Sensors in Convolutive Mixtures.
Vol. 5,
Issue. ,
p.
V-657.
Afsari, Bijan
2007.
What Can Make Joint Diagonalization Difficult?.
p.
III-1377.
Stegeman, Alwin
and
Sidiropoulos, Nicholas D.
2007.
On Kruskal’s uniqueness condition for the Candecomp/Parafac decomposition.
Linear Algebra and its Applications,
Vol. 420,
Issue. 2-3,
p.
540.
de Almeida, André L.F.
Favier, Gérard
and
Mota, João Cesar M.
2007.
PARAFAC-based unified tensor modeling for wireless communication systems with application to blind multiuser equalization.
Signal Processing,
Vol. 87,
Issue. 2,
p.
337.
Hall, Gregory J.
and
Kenny, Jonathan E.
2007.
Estuarine water classification using EEM spectroscopy and PARAFAC–SIMCA.
Analytica Chimica Acta,
Vol. 581,
Issue. 1,
p.
118.
Grosse-Wentrup, Moritz
and
Buss, Martin
2008.
Multiclass Common Spatial Patterns and Information Theoretic Feature Extraction.
IEEE Transactions on Biomedical Engineering,
Vol. 55,
Issue. 8,
p.
1991.
Yuanning Yu
and
Petropulu, A.P.
2008.
PARAFAC-Based Blind Estimation Of Possibly Underdetermined Convolutive MIMO Systems.
IEEE Transactions on Signal Processing,
Vol. 56,
Issue. 1,
p.
111.
Ebrahimi, Diako
Kennedy, Danielle F.
Messerle, Barbara A.
and
Hibbert, D. Brynn
2008.
High throughput screening arrays of rhodium and iridium complexes as catalysts for intramolecular hydroamination using parallel factor analysis.
The Analyst,
Vol. 133,
Issue. 6,
p.
817.
de Almeida, AndrÉ L. F.
Favier, GÉrard
and
Mota, JoÃo Cesar M.
2008.
A Constrained Factor Decomposition With Application to MIMO Antenna Systems.
IEEE Transactions on Signal Processing,
Vol. 56,
Issue. 6,
p.
2429.
Afsari, Bijan
2008.
Sensitivity Analysis for the Problem of Matrix Joint Diagonalization.
SIAM Journal on Matrix Analysis and Applications,
Vol. 30,
Issue. 3,
p.
1148.
Ferré, J.
Boqué, R.
and
Faber, N.M.
2009.
Comprehensive Chemometrics.
p.
365.