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» On Revealing Replicating Structures in Multiway Data: A Nove...
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ICA
2012
Springer
12 years 3 days ago
On Revealing Replicating Structures in Multiway Data: A Novel Tensor Decomposition Approach
A novel tensor decomposition called pattern or P-decomposition is proposed to make it possible to identify replicating structures in complex data, such as textures and patterns in ...
Anh Huy Phan, Andrzej Cichocki, Petr Tichavsk&yacu...
ML
2010
ACM
181views Machine Learning» more  ML 2010»
13 years 3 months ago
Decomposing the tensor kernel support vector machine for neuroscience data with structured labels
Abstract The tensor kernel has been used across the machine learning literature for a number of purposes and applications, due to its ability to incorporate samples from multiple s...
David R. Hardoon, John Shawe-Taylor
DATAMINE
2008
137views more  DATAMINE 2008»
13 years 4 months ago
Two heads better than one: pattern discovery in time-evolving multi-aspect data
Abstract. Data stream values are often associated with multiple aspects. For example, each value observed at a given time-stamp from environmental sensors may have an associated ty...
Jimeng Sun, Charalampos E. Tsourakakis, Evan Hoke,...
SDM
2010
SIAM
204views Data Mining» more  SDM 2010»
13 years 6 months ago
Scalable Tensor Factorizations with Missing Data
The problem of missing data is ubiquitous in domains such as biomedical signal processing, network traffic analysis, bibliometrics, social network analysis, chemometrics, computer...
Evrim Acar, Daniel M. Dunlavy, Tamara G. Kolda, Mo...
VIS
2004
IEEE
195views Visualization» more  VIS 2004»
14 years 5 months ago
Flow Field Clustering via Algebraic Multigrid
We present a novel multiscale approach for flow visualization. We define a local alignment tensor that encodes a measure for alignment to the direction of a given flow field. This...
Michael Griebel, Tobias Preußer, Martin Rump...