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JMLR
2006
169views more  JMLR 2006»
15 years 6 months ago
Bayesian Network Learning with Parameter Constraints
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...
TIFS
2008
102views more  TIFS 2008»
15 years 6 months ago
Insertion, Deletion Codes With Feature-Based Embedding: A New Paradigm for Watermark Synchronization With Applications to Speech
A framework is proposed for synchronization in feature-based data embedding systems that is tolerant of errors in estimated features. The method combines feature-based embedding wi...
David J. Coumou, Gaurav Sharma
245
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TMI
2008
141views more  TMI 2008»
15 years 6 months ago
Fast Noise Reduction in Computed Tomography for Improved 3-D Visualization
Computed tomography (CT) has a trend towards higher resolution and higher noise. This development has increased the interest in anisotropic smoothing techniques for CT, which aim t...
Michiel Schaap, Arnold M. R. Schilham, Karel J. Zu...
TPDS
2008
196views more  TPDS 2008»
15 years 6 months ago
End-to-End Energy Management in Networked Real-Time Embedded Systems
Recent technological advances have opened up a wide range of distributed real-time applications involving battery-driven embedded devices with local processing and wireless communi...
G. Sudha Anil Kumar, Govindarasu Manimaran, Zhengd...
AMC
2004
108views more  AMC 2004»
15 years 6 months ago
A variational approach to magnetic resonance coil sensitivity estimation
Abstract. A variational method for estimating a magnetic resonance coil sensitivity from its corresponding nonuniform illumination of magnetic resonance images is proposed and anal...
Stephen L. Keeling, Roland Bammer
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