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CVPR
2007
IEEE
14 years 7 months ago
Nonnegative Tucker Decomposition
Nonnegative tensor factorization (NTF) is a recent multiway (multilinear) extension of nonnegative matrix factorization (NMF), where nonnegativity constraints are imposed on the C...
Yong-Deok Kim, Seungjin Choi
ICASSP
2008
IEEE
13 years 11 months ago
Nonnegative Tucker decomposition with alpha-divergence
Nonnegative Tucker decomposition (NTD) is a recent multiway extension of nonnegative matrix factorization (NMF), where nonnegativity constraints are incorporated into Tucker model...
Yong-Deok Kim, Andrzej Cichocki, Seungjin Choi
SIAMMAX
2010
134views more  SIAMMAX 2010»
12 years 11 months ago
Dynamical Tensor Approximation
For the approximation of time-dependent data tensors and of solutions to tensor differential equations by tensors of low Tucker rank, we study a computational approach that can be ...
Othmar Koch, Christian Lubich
CVPR
2011
IEEE
12 years 8 months ago
Support Tucker Machines
In this paper we address the two-class classification problem within the tensor-based framework, by formulating the Support Tucker Machines (STuMs). More precisely, in the propos...
Irene Kotsia, Ioannis Patras
TIP
2010
154views more  TIP 2010»
13 years 3 months ago
Projective Nonnegative Graph Embedding
—We present in this paper a general formulation for nonnegative data factorization, called projective nonnegative graph embedding (PNGE), which 1) explicitly decomposes the data ...
Xiaobai Liu, Shuicheng Yan, Hai Jin