9886 search results - page 444 / 1978 » Learning Compressible Models |
151
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JSCIC
2010
14 years 12 months ago
2010
Variational models for image segmentation have many applications, but can be slow to compute. Recently, globally convex segmentation models have been introduced which are very rel...
143
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EMNLP
2006
15 years 6 months ago
2006
This paper demonstrates how unsupervised techniques can be used to learn models of deep linguistic structure. Determining the semantic roles of a verb's dependents is an impo...
153
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ICML
2007
IEEE
16 years 6 months ago
2007
IEEE
The Gaussian process latent variable model (GP-LVM) is a powerful approach for probabilistic modelling of high dimensional data through dimensional reduction. In this paper we ext...
135
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ESANN
2008
15 years 6 months ago
2008
Abstract. This paper discusses a machine learning approach for binary classification problems which satisfies the specific requirements of safety-related applications. The approach...
171
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SMC
2007
IEEE
15 years 11 months ago
2007
IEEE
— We consider learning in a transductive setting using instance-based learning (k-NN) and present a method for constructing a data-dependent distance “metric” using both labe...