Sciweavers

ICASSP
2011
IEEE
12 years 7 months ago
Multi-channel EEG compression based on matrix and tensor decompositions
Compression schemes for EEG signals are developed based on matrix and tensor decomposition. Various ways to arrange EEG signals into matrices and tensors are explored, and several...
Justin Dauwels, K. Srinivasan, M. Ramasubba Reddy,...
TSP
2008
109views more  TSP 2008»
13 years 3 months ago
Constrained Tensor Modeling Approach to Blind Multiple-Antenna CDMA Schemes
In this paper, we consider an uplink multiple-antenna Code-Division Multiple-Access (CDMA) system linking several multiple-antenna mobile users to one multiple-antenna base-statio...
André L. F. de Almeida, Gérard Favie...
ECCV
2010
Springer
13 years 6 months ago
Optimum Subspace Learning and Error Correction for Tensors
Confronted with the high-dimensional tensor-like visual data, we derive a method for the decomposition of an observed tensor into a low-dimensional structure plus unbounded but spa...
ICMCS
2005
IEEE
172views Multimedia» more  ICMCS 2005»
13 years 9 months ago
A Study of Synthesizing New Human Motions from Sampled Motions Using Tensor Decomposition
This paper applies an algorithm, based on Tensor Decomposition, to a new synthesis application: by using sampled motions of people of different ages under different emotional stat...
Rovshan Kalanov, Jieun Cho, Jun Ohya
KDD
2006
ACM
122views Data Mining» more  KDD 2006»
14 years 4 months ago
Tensor-CUR decompositions for tensor-based data
Motivated by numerous applications in which the data may be modeled by a variable subscripted by three or more indices, we develop a tensor-based extension of the matrix CUR decom...
Michael W. Mahoney, Mauro Maggioni, Petros Drineas