995 search results - page 40 / 199 » Learning Useful Horn Approximations |
100
Voted
CVPR
2008
IEEE
16 years 2 months ago
2008
IEEE
This paper examines the problem of extracting lowdimensional manifold structure given millions of highdimensional face images. Specifically, we address the computational challenge...
133
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CVPR
2011
IEEE
14 years 9 months ago
2011
IEEE
Nearly every structured prediction problem in computer vision requires approximate inference due to large and complex dependencies among output labels. While graphical models prov...
141
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TNN
2010
14 years 7 months ago
2010
Finite mixture model is a powerful tool in many statistical learning problems. In this paper, we propose a general, structure-preserving approach to reduce its model complexity, w...
102
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UAI
1996
15 years 2 months ago
1996
We discuss Bayesian methods for learning Bayesian networks when data sets are incomplete. In particular, we examine asymptotic approximations for the marginal likelihood of incomp...
MICAI
2007
Springer
15 years 7 months ago
2007
Springer
Instance-based learning algorithms are widely used due to their capacity to approximate complex target functions; however, the performance of this kind of algorithms degrades signi...