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» An Approximation Algorithm for Approximation Rank
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164
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NIPS
2008
15 years 8 months ago
Bayesian Experimental Design of Magnetic Resonance Imaging Sequences
We show how improved sequences for magnetic resonance imaging can be found through optimization of Bayesian design scores. Combining approximate Bayesian inference and natural ima...
Matthias W. Seeger, Hannes Nickisch, Rolf Pohmann,...
TIP
1998
109views more  TIP 1998»
15 years 6 months ago
Optimum design of chamfer distance transforms
—The distance transform has found many applications in image analysis. Chamfer distance transforms are a class of discrete algorithms that offer a good approximation to the desir...
Muhammad Akmal Butt, Petros Maragos
197
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JAIR
2010
108views more  JAIR 2010»
15 years 5 months ago
Kalman Temporal Differences
This paper deals with value (and Q-) function approximation in deterministic Markovian decision processes (MDPs). A general statistical framework based on the Kalman filtering pa...
Matthieu Geist, Olivier Pietquin
ICASSP
2011
IEEE
14 years 10 months ago
Design of Hilbert transform pairs of orthonormal wavelet bases with improved analyticity
This paper proposes a class of Hilbert transform pairs of orthonormal wavelet bases with improved analyticity. To improve the analyticity of complex wavelet, a different allpass ...
Xi Zhang
174
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CISS
2008
IEEE
16 years 1 months ago
Reconstruction of compressively sensed images via neurally plausible local competitive algorithms
Abstract—We develop neurally plausible local competitive algorithms (LCAs) for reconstructing compressively sensed images. Reconstruction requires solving a sparse approximation ...
Robert L. Ortman, Christopher J. Rozell, Don H. Jo...