995 search results - page 139 / 199 » Learning Useful Horn Approximations |
132
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ACL
2012
13 years 3 months ago
2012
We argue that multilingual parallel data provides a valuable source of indirect supervision for induction of shallow semantic representations. Specifically, we consider unsupervi...
94
Voted
CVPR
2008
IEEE
16 years 2 months ago
2008
IEEE
Prior distributions are useful for robust low-level vision, and undirected models (e.g. Markov Random Fields) have become a central tool for this purpose. Though sometimes these p...
124
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ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
The choice of the kernel function which determines the mapping between the input space and the feature space is of crucial importance to kernel methods. The past few years have se...
113
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EWSN
2004
Springer
16 years 11 days ago
2004
Springer
Wireless sensor networks typically consist of a large number of sensor nodes embedded in a physical space. Such sensors are low-power devices that are primarily used for monitoring...
116
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MICCAI
2009
Springer
15 years 7 months ago
2009
Springer
This paper investigates an approach to model the space of brain images through a low-dimensional manifold. A data driven method to learn a manifold from a collections of brain imag...