Results 11 to 20 of about 5,105 (201)

Application of Parallel Factor Analysis (PARAFAC) to Electrophysiological Data [PDF]

Frontiers in Neuroinformatics, 2015
The identification of important features in multi-electrode recordings requires the decomposition of data in order to disclose relevant features and to offer a clear graphical representation. This can be a demanding task.
Sarah Katharina eSchmitz, Sarah Katharina eSchmitz, Sarah Katharina eSchmitz, Philipp P Hasselbach, Boris eEbisch, Boris eEbisch, Anja eKlein, Gordon ePipa, Ralf A. W. Galuske, Ralf A. W. Galuske   +9 more
doaj   +4 more sources

Overview of constrained PARAFAC models [PDF]

EURASIP Journal on Advances in Signal Processing, 2014
International audienceSome tensor prerequisites with a particular emphasis on mode combination using Kronecker products of canonical vectors that makes easier matricization operations, are first reviewed.
De Almeida, André,, Gérard Favier, Favier, Gérard, André LF de Almeida   +3 more
core   +7 more sources

Robust PARAFAC for incomplete data [PDF]

Journal of Chemometrics, 2012
Different methods exist to explore multiway data. In this article, we focus on the widely used PARAFAC (parallel factor analysis) model, which expresses multiway data in a more compact way without ignoring the underlying complex structure. An alternating
Verdonck, Tim, Van Kerckhoven, Johan, Hubert, Mia   +2 more
core   +3 more sources

On uniqueness in candecomp/parafac

Psychometrika, 2002
Candecomp, Parafac, uniqueness, three-way arrays,
Nikolaos Sidiropoulos, Ten Berge, J.M.F., Sidiropoulos, N.D., Jos Berge   +3 more
core   +3 more sources

Co-PARAFAC: A Novel Cost-Efficient Scalable Tensor Decomposition Algorithm

IEEE Access
This paper proposes a novel tensor decomposition method, cooperative parallel factor (Co-PARAFAC), that is devised to achieve higher accuracy with lower computational complexity and memory requirements than the conventional PARAFAC.
Farshad Shams, Vincenzo Lottici, Zhi Tian   +2 more
doaj   +2 more sources

A constrained PARAFAC method for positive manifold data [PDF]

Applied Psychological Measurement, 1992
A set of non-negatively correlated variables, referred to as positive manifold data, display a peculiar pattern of loadings in principal components analysis (PCA).
Wim P. Krijnen, Ten Berge, Jos M. F., Jos M. F. Ten Berge, Krijnen, Wim P., ten Berge, Jos M.F.   +4 more
core   +4 more sources

The PARAFAC-MUSIC Algorithm for DOA Estimation with Doppler Frequency in a MIMO Radar System [PDF]

International Journal of Antennas and Propagation, 2014
The PARAFAC-MUSIC algorithm is proposed to estimate the direction-of-arrival (DOA) of the targets with Doppler frequency in a monostatic MIMO radar system in this paper.
Nan Wang, Wenguang Wang, Fan Zhang, Yunneng Yuan   +3 more
doaj   +2 more sources

Parafac With Splines: A Case Study

Journal of Chemometrics, 2015
The PARAFAC model has been used in several applications in chemistry, e.g. for overlapped spectra resolution and second-order calibration. In general, the PARAFAC method uses a vector space approach by considering the matrices resulting from the ...
Reis M.M., Ferreira M.M.C.
core   +2 more sources

Non-iterative solution for PARAFAC with a Toeplitz matrix factor [PDF]

, 2009
International audienceRecently, tensor signal processing has received an increased attention, particularly in the context of wireless communication applications. The so-called PARAllel FACtor (PARAFAC) decomposition is certainly the most used tensor tool.
Gérard, Favier, Kibangou, Alain Yuwa, Kibangou, Alain Y., Kibangou, Alain, Favier, Gérard   +4 more
core   +6 more sources

Partial uniqueness in CANDECOMP/PARAFAC

Journal of Chemometrics, 2004
A key property of CANDECOMP/PARAFAC is the essential uniqueness it displays under certain conditions. It has been known for a long time that, when these conditions are not met, partial uniqueness may remain. Whereas considerable progress has been made in
ten Berge, JMF
core   +3 more sources