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ISBI
2004
IEEE
16 years 16 days ago
Iterative Image Reconstruction in MRI With Separate Magnitude and Phase Regularization
Iterative methods for image reconstruction in MRI are useful in several applications, including reconstruction from non-Cartesian k-space samples, compensation for magnetic field ...
Jeffrey A. Fessler, Douglas C. Noll
IDA
2009
Springer
15 years 6 months ago
Extension of Sparse, Adaptive Signal Decompositions to Semi-blind Audio Source Separation
Abstract. We apply sparse, fast and flexible adaptive lapped orthogonal transforms to underdetermined audio source separation using the time-frequency masking framework. This norm...
Andrew Nesbit, Emmanuel Vincent, Mark D. Plumbley
KES
2007
Springer
15 years 6 months ago
Predictive and Contextual Feature Separation for Bayesian Metanetworks
Bayesian Networks are proven to be a comprehensive model to describe causal relationships among domain attributes with probabilistic measure of conditional dependency. However, dep...
Vagan Y. Terziyan
EAAI
2006
157views more  EAAI 2006»
14 years 12 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...
BC
2005
71views more  BC 2005»
14 years 11 months ago
The spatiotemporal learning rule and its efficiency in separating spatiotemporal patterns
The hippocampus plays an important role in the course of establishing long-term memory, i.e., to make short-term memory of spatially and temporally associated input information. In...
M. Tsukada, X. Pan