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168
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JMLR
2006
15 years 4 months ago
2006
We propose a family of learning algorithms based on a new form of regularization that allows us to exploit the geometry of the marginal distribution. We focus on a semi-supervised...
154
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EMNLP
2010
15 years 1 months ago
2010
We present a novel approach to relation extraction that integrates information across documents, performs global inference and requires no labelled text. In particular, we tackle ...
155
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JMLR
2012
13 years 6 months ago
2012
The main theme of this paper is to develop a novel eigenvalue optimization framework for learning a Mahalanobis metric. Within this context, we introduce a novel metric learning a...
113
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ICCV
2007
IEEE
16 years 6 months ago
2007
IEEE
Markov Random Fields (MRFs) are ubiquitous in lowlevel computer vision. In this paper, we propose a new approach to the optimization of multi-labeled MRFs. Similarly to -expansion...
137
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ECEASST
2010
15 years 1 months ago
2010
d Abstract) Detlef Plump Abstract. In general, it is undecidable whether a terminating graphtransformation system is confluent or not. We introduce the class of coverable hypergrap...