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» Spectral unmixing using nonnegative tensor factorization
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ICANNGA
2007
Springer
191views Algorithms» more  ICANNGA 2007»
14 years 1 months ago
Novel Multi-layer Non-negative Tensor Factorization with Sparsity Constraints
In this paper we present a new method of 3D non-negative tensor factorization (NTF) that is robust in the presence of noise and has many potential applications, including multi-way...
Andrzej Cichocki, Rafal Zdunek, Seungjin Choi, Rob...
ISCAS
2008
IEEE
217views Hardware» more  ISCAS 2008»
14 years 2 months ago
Approximate L0 constrained non-negative matrix and tensor factorization
— Non-negative matrix factorization (NMF), i.e. V ≈ WH where both V, W and H are non-negative has become a widely used blind source separation technique due to its part based r...
Morten Mørup, Kristoffer Hougaard Madsen, L...
ICASSP
2011
IEEE
12 years 11 months ago
Nonnegative 3-way tensor factorization via conjugate gradient with globally optimal stepsize
This paper deals with the minimal polyadic decomposition (also known as canonical decomposition or Parafac) of a 3way array, assuming each entry is positive. In this case, the low...
Jean-Philip Royer, Pierre Comon, Nadège Thi...
CIKM
2010
Springer
13 years 6 months ago
FacetCube: a framework of incorporating prior knowledge into non-negative tensor factorization
Non-negative tensor factorization (NTF) is a relatively new technique that has been successfully used to extract significant characteristics from polyadic data, such as data in s...
Yun Chi, Shenghuo Zhu
TOG
2012
298views Communications» more  TOG 2012»
11 years 10 months ago
Tensor displays: compressive light field synthesis using multilayer displays with directional backlighting
We introduce tensor displays: a family of compressive light field displays comprising all architectures employing a stack of timemultiplexed, light-attenuating layers illuminated...
Gordon Wetzstein, Douglas Lanman, Matthew Hirsch, ...