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ICDM
2008
IEEE
141views Data Mining» more  ICDM 2008»
15 years 10 months ago
Scalable Tensor Decompositions for Multi-aspect Data Mining
Modern applications such as Internet traffic, telecommunication records, and large-scale social networks generate massive amounts of data with multiple aspects and high dimensiona...
Tamara G. Kolda, Jimeng Sun
ICANNGA
2007
Springer
191views Algorithms» more  ICANNGA 2007»
15 years 10 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...
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ICASSP
2010
IEEE
15 years 4 months ago
NMF with time-frequency activations to model non stationary audio events
Real world sounds often exhibit non-stationary spectral characteristics such as those produced by a harpsichord or a guitar. The classical Non-negative Matrix Factorization (NMF) ...
Romain Hennequin, Roland Badeau, Bertrand David
CIVR
2008
Springer
166views Image Analysis» more  CIVR 2008»
15 years 5 months ago
Non-negative matrix factorisation for object class discovery and image auto-annotation
In information retrieval, sub-space techniques are usually used to reveal the latent semantic structure of a data-set by projecting it to a low dimensional space. Non-negative mat...
Jiayu Tang, Paul H. Lewis
SDM
2010
SIAM
195views Data Mining» more  SDM 2010»
15 years 5 months ago
MACH: Fast Randomized Tensor Decompositions
Tensors naturally model many real world processes which generate multi-aspect data. Such processes appear in many different research disciplines, e.g, chemometrics, computer visio...
Charalampos E. Tsourakakis