Results 21 to 30 of about 380 (92)
, 2010 This is the author's accepted pre-print of the article, first published as M. D. Plumbley, A. Cichocki and R. Bro. Non-negative mixtures. In P. Comon and C. Jutten (Ed), Handbook of Blind Source Separation: Independent Component Analysis and Applications.
Bro, R, Cichocki, A, Plumbley, MD
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Nonnegative approximations of nonnegative tensors [PDF]
, 2009 We study the decomposition of a nonnegative tensor into a minimal sum of outer product of nonnegative vectors and the associated parsimonious naive Bayes probabilistic model.
Comon, Pierre, Lim, Lek-Heng
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Estimating Network Flow Length Distributions via Bayesian Nonnegative Tensor Factorization
Wireless Communications and Mobile Computing, Volume 2019, Issue 1, 2019., 2019 In this paper, we develop a framework to estimate network flow length distributions in terms of the number of packets. We model the network flow length data as a three‐way array with day‐of‐week, hour‐of‐day, and flow length as entities where we observe a count.
Barış Kurt +4 more
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Tensor displays: compressive light field synthesis using multilayer displays with directional backlighting [PDF]
, 2012 We introduce tensor displays: a family of compressive light field displays comprising all architectures employing a stack of time-multiplexed, light-attenuating layers illuminated by uniform or directional backlighting (i.e., any low-resolution light ...
Hirsch, Matthew Waggener +3 more
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Why You Go Reveals Who You Know: Disclosing Social Relationship by Cooccurrence
Wireless Communications and Mobile Computing, Volume 2017, Issue 1, 2017., 2017 The popularity of location‐based services (LBS) and the ubiquity of sensor device have resulted in rich spatiotemporal data. A large number of human behaviors had been recorded including cooccurrence which refers to the phenomenon that two people have been to the same places at the same time.
Feng Yi +4 more
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Science and Technology of Nuclear Installations, Volume 2017, Issue 1, 2017., 2017 We present an overview of fission chamber’s functioning modes, theoretical aspects of the nonnegative matrix factorization methods, and the opportunities that offer neutron data processing in order to achieve neutron flux monitoring tasks. Indeed, it is a part of research project that aimed at applying Blind Source Separation methods for in‐core and ex‐
Hanane Arahmane +3 more
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IET Signal Processing, Volume 9, Issue 8, Page 587-595, October 2015., 2015 In this paper, the authors address the tasks of audio source counting and separation for two‐channel instantaneous mixtures. This goal is achieved in two steps. First, a novel scheme is proposed for estimating the number of sources and the corresponding channel intensity difference (CID) values.
Sayeh Mirzaei +2 more
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Estimating the outcome of spreading processes on networks with incomplete information: a mesoscale approach [PDF]
, 2017 Recent advances in data collection have facilitated the access to time-resolved human proximity data that can conveniently be represented as temporal networks of contacts between individuals.
Barrat, Alain +3 more
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Mathematical Problems in Engineering, Volume 2014, Issue 1, 2014., 2014 A novel facial expression recognition algorithm based on discriminant neighborhood preserving nonnegative tensor factorization (DNPNTF) and extreme learning machine (ELM) is proposed. A discriminant constraint is adopted according to the manifold learning and graph embedding theory. The constraint is useful to exploit the spatial neighborhood structure
Gaoyun An +5 more
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Computing the polyadic decomposition of nonnegative third order tensors [PDF]
, 2011 International audienceComputing the minimal polyadic decomposition (also often referred to as canonical decomposition, or sometimes Parafac) amounts to finding the global minimum of a coercive polynomial in many variables.
Comon, Pierre +2 more
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