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IPMI
2009
Springer
15 years 56 min ago
Neural Tractography Using An Unscented Kalman Filter
We describe a technique to simultaneously estimate a local neural fiber model and trace out its path. Existing techniques estimate the local fiber orientation at each voxel indepen...
James G. Malcolm, Martha Elizabeth Shenton, Yogesh...
ICML
2005
IEEE
14 years 12 months ago
A model for handling approximate, noisy or incomplete labeling in text classification
We introduce a Bayesian model, BayesANIL, that is capable of estimating uncertainties associated with the labeling process. Given a labeled or partially labeled training corpus of...
Ganesh Ramakrishnan, Krishna Prasad Chitrapura, Ra...
ICML
2005
IEEE
14 years 12 months ago
Supervised versus multiple instance learning: an empirical comparison
We empirically study the relationship between supervised and multiple instance (MI) learning. Algorithms to learn various concepts have been adapted to the MI representation. Howe...
Soumya Ray, Mark Craven
ISBI
2002
IEEE
14 years 12 months ago
Volumetric constraints in 3D tomography applied to electron microscopy
3D Electron Microscopy aims at the reconstruction of density volumes corresponding to the mass distribution of macromolecules imaged with an electron microscope. There are many fa...
Carlos Oscar Sánchez Sorzano, Gabor T. Herm...
ISBI
2004
IEEE
14 years 12 months ago
Enhancement of Microtubules In EM Tomography
The interpretation of the EM tomography of microtubules is challenging due to the low SNR and low contrast of the volume data. Therefore, image enhancement is crucial for the subs...
Ming Jiang 0004, Qiang Ji, Bruce F. McEwen