Generalized discriminant orthogonal nonnegative tensor factorization for facial expression recognition. [PDF]
ScientificWorldJournal, 2014 In order to overcome the limitation of traditional nonnegative factorization algorithms, the paper presents a generalized discriminant orthogonal non‐negative tensor factorization algorithm. At first, the algorithm takes the orthogonal constraint into account to ensure the nonnegativity of the low‐dimensional features.
XiuJun Z, Chang L.
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Discriminative and Distinct Phenotyping by Constrained Tensor Factorization. [PDF]
Sci Rep, 2017 1121Ysciescopu
Kim Y, El-Kareh R, Sun J, Yu H, Jiang X.
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Advances in nonnegative matrix and tensor factorization. [PDF]
Comput Intell Neurosci, 2008 Computational Intelligence and Neuroscience, Volume 2008, Issue 1, 2008.
Cichocki A +4 more
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Single-trial decoding of bistable perception based on sparse nonnegative tensor decomposition. [PDF]
Comput Intell Neurosci, 2008 The study of the neuronal correlates of the spontaneous alternation in perception elicited by bistable visual stimuli is promising for understanding the mechanism of neural information processing and the neural basis of visual perception and perceptual decision‐making.
Wang Z, Maier A, Logothetis NK, Liang H.
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Brain connectivity analysis: a short survey. [PDF]
Comput Intell Neurosci, 2012 This short survey the reviews recent literature on brain connectivity studies. It encompasses all forms of static and dynamic connectivity whether anatomical, functional, or effective. The last decade has seen an ever increasing number of studies devoted to deduce functional or effective connectivity, mostly from functional neuroimaging experiments ...
Lang EW +4 more
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Probabilistic latent variable models as nonnegative factorizations. [PDF]
Comput Intell Neurosci, 2008 This paper presents a family of probabilistic latent variable models that can be used for analysis of nonnegative data. We show that there are strong ties between nonnegative matrix factorization and this family, and provide some straightforward extensions which can help in dealing with shift invariances, higher‐order decompositions and sparsity ...
Shashanka M, Raj B, Smaragdis P.
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Improved Convolutive and Under-Determined Blind Audio Source Separation with MRF Smoothing. [PDF]
Cognit Comput, 2013 Convolutive and under-determined blind audio source separation from noisy recordings is a challenging problem. Several computational strategies have been proposed to address this problem.
Zdunek R.
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Non-Negative Tensor Factorization Applied to Music Genre Classification [PDF]
, 2010 Music genre classification techniques are typically applied to the data matrix whose columns are the feature vectors extracted from music recordings.
Benetos, E., Kotropoulos, C.
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Parallel Algorithms for Constrained Tensor Factorization via the Alternating Direction Method of Multipliers [PDF]
, 2015 Tensor factorization has proven useful in a wide range of applications, from sensor array processing to communications, speech and audio signal processing, and machine learning.
Liavas, Athanasios P. +1 more
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Detecting the community structure and activity patterns of temporal networks: a non-negative tensor factorization approach [PDF]
, 2013 The increasing availability of temporal network data is calling for more research on extracting and characterizing mesoscopic structures in temporal networks and on relating such structure to specific functions or properties of the system. An outstanding
Cattuto, Ciro +2 more
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