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PRL
2008
14 years 9 months ago
2008
In this work we propose an approach to binary classification based on an extension of Bayes Point Machines. Particularly, we take into account the whole set of hypotheses that are...
PKDD
2010
Springer
14 years 8 months ago
2010
Springer
There are many situations in which we have more than one view of a single data source, or in which we have multiple sources of data that are aligned. We would like to be able to bu...
CORR
2010
Springer
14 years 8 months ago
2010
Springer
Structured output prediction is an important machine learning problem both in theory and practice, and the max-margin Markov network (M3 N) is an effective approach. All state-of-...
100
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CVPR
2011
IEEE
14 years 6 months ago
2011
IEEE
The goal of object category discovery is to automatically identify groups of image regions which belong to some new, previously unseen category. This task is typically performed i...
173
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NECO
2011
14 years 4 months ago
2011
Accurately evaluating statistical independence among random variables is a key element of Independent Component Analysis (ICA). In this paper, we employ a squared-loss variant of ...