114 search results - page 12 / 23 » Domain Adaptation with Structural Correspondence Learning |
71
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USAB
2008
14 years 11 months ago
2008
In this paper, we describe a conceptual framework and address the related issues and solutions in the identification of three major challenges for the development and evaluation of...
ECCV
2004
Springer
15 years 11 months ago
2004
Springer
Detecting low-level image features such as edges and ridges with spatial filters is improved if the scale of the features are known a priori. Scale-space representations and wavele...
GECCO
2007
Springer
15 years 3 months ago
2007
Springer
Adaptive representations allow evolution to explore the space of phenotypes by choosing the most suitable set of genotypic parameters. Although such an approach is believed to be ...
106
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ICIP
2003
IEEE
15 years 11 months ago
2003
IEEE
We present algorithms for automatic feature selection for unsupervised structure discovery from video sequences. Feature selection in this scenario is hard because of the absence ...
KDD
2002
ACM
15 years 10 months ago
2002
ACM
Relational Markov models (RMMs) are a generalization of Markov models where states can be of different types, with each type described by a different set of variables. The domain ...