375 search results - page 22 / 75 » Bayesian Inference for Sparse Generalized Linear Models |
112
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MICCAI
2010
Springer
15 years 6 days ago
2010
Springer
The use of machine learning tools is gaining popularity in neuroimaging, as it provides a sensitive assessment of the information conveyed by brain images. In particular, finding ...
MICCAI
2006
Springer
16 years 2 months ago
2006
Springer
This paper addresses the problem of creating probabilistic brain atlases from manually labeled training data. We propose a general mesh-based atlas representation, and compare diff...
251
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NIPS
2008
15 years 3 months ago
2008
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...
101
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ECCV
2000
Springer
16 years 3 months ago
2000
Springer
In recent years several techniques have been proposed for modelling the low-dimensional manifolds, or `subspaces', of natural images. Examples include principal component anal...
107
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CADE
2006
Springer
16 years 2 months ago
2006
Springer
Linear arithmetic decision procedures form an important part of theorem provers for program verification. In most verification benchmarks, the linear arithmetic constraints are dom...