8970 search results - page 1392 / 1794 » Learning to Learn Causal Models |
212
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CVPR
2010
IEEE
16 years 3 months ago
2010
IEEE
In this paper, we propose a novel supervised hierarchical sparse coding model based on local image descriptors for classification tasks. The supervised dictionary training is perf...
175
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CVPR
2010
IEEE
16 years 3 months ago
2010
IEEE
We present a background model that differentiates between background motion and foreground objects. Unlike most models that represent the variability of pixel intensity at a partic...
167
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PERVASIVE
2009
Springer
16 years 1 months ago
2009
Springer
This paper presents novel methodologies for the analysis of continuous cellular tower data from 215 randomly sampled subjects in a major urban city. We demonstrate the potential of...
152
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ESWS
2009
Springer
16 years 1 months ago
2009
Springer
Abstract. In this paper we argue why it is necessary to associate linguistic information with ontologies and why more expressive models, beyond RDFS, OWL and SKOS, are needed to ca...
204
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PKDD
2009
Springer
16 years 1 months ago
2009
Springer
Probabilistic relational models are an efficient way to learn and represent the dynamics in realistic environments consisting of many objects. Autonomous intelligent agents that gr...