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EAAI
2006
157views more  EAAI 2006»
13 years 7 months ago
Blind source separation based on self-organizing neural network
This contribution describes a neural network that self-organizes to recover the underlying original sources from typical sensor signals. No particular information is required abou...
Anke Meyer-Bäse, Peter Gruber, Fabian J. Thei...
UM
2010
Springer
13 years 5 months ago
User Modeling for Telecommunication Applications: Experiences and Practical Implications
Abstract. Telecommunication applications based on user modeling focus on extracting customer behavior and preferences from the information implicitly included in Call Detail Record...
Heath Hohwald, Enrique Frías-Martíne...
IDA
2009
Springer
13 years 5 months ago
Hierarchical Extraction of Independent Subspaces of Unknown Dimensions
Abstract. Independent Subspace Analysis (ISA) is an extension of Independent Component Analysis (ICA) that aims to linearly transform a random vector such as to render groups of it...
Peter Gruber, Harold W. Gutch, Fabian J. Theis
SIAMIS
2008
93views more  SIAMIS 2008»
13 years 7 months ago
Convex Source Support and Its Application to Electric Impedance Tomography
The aim in electric impedance tomography is to recover the conductivity inside a physical body from boundary measurements of current and voltage. In many situations of practical im...
Martin Hanke, Nuutti Hyvönen, Stefanie Reussw...
CORR
2011
Springer
186views Education» more  CORR 2011»
12 years 11 months ago
Blind Compressed Sensing Over a Structured Union of Subspaces
—This paper addresses the problem of simultaneous signal recovery and dictionary learning based on compressive measurements. Multiple signals are analyzed jointly, with multiple ...
Jorge Silva, Minhua Chen, Yonina C. Eldar, Guiller...