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» Reconstructing Boolean Models of Signaling
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ICASSP
2011
IEEE
14 years 1 months ago
Evaluating music sequence models through missing data
Building models of the structure in musical signals raises the question of how to evaluate and compare different modeling approaches. One possibility is to use the model to impute...
Thierry Bertin-Mahieux, Graham Grindlay, Ron J. We...
TIP
2010
164views more  TIP 2010»
14 years 4 months ago
A Marked Point Process for Modeling Lidar Waveforms
Lidar waveforms are 1D signals representing a train of echoes caused by reflections at different targets. Modeling these echoes with the appropriate parametric function is useful ...
Clément Mallet, Florent Lafarge, Michel Rou...
NIPS
2008
14 years 11 months ago
Supervised Dictionary Learning
It is now well established that sparse signal models are well suited for restoration tasks and can be effectively learned from audio, image, and video data. Recent research has be...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
PAMI
1998
141views more  PAMI 1998»
14 years 9 months ago
A Probabilistic Approach to the Coupled Reconstruction and Restoration of Underwater Acoustic Images
—This paper describes a probabilistic technique for the coupled reconstruction and restoration of underwater acoustic images. The technique is founded on the physics of the image...
Vittorio Murino, Andrea Trucco, Carlo S. Regazzoni
MICCAI
2010
Springer
14 years 7 months ago
ECG-Gated Interventional Cardiac Reconstruction for Non-periodic Motion
The 3-D reconstruction of cardiac vasculature using C-arm CT is an active and challenging field of research. In interventional environments patients often do have arrhythmic heart ...
Christopher Rohkohl, Günter Lauritsch, Lisa B...