8970 search results - page 303 / 1794 » Learning to Learn Causal Models |
215
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HUMO
2007
Springer
16 years 27 days ago
2007
Springer
Abstract. Learned, activity-specific motion models are useful for human pose and motion estimation. Nevertheless, while the use of activityspecific models simplifies monocular t...
186
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
The supremacy of n-gram models in statistical language modelling has recently been challenged by parametric models that use distributed representations to counteract the difficult...
175
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ICDAR
2009
IEEE
15 years 4 months ago
2009
IEEE
Despite ubiquitous claims that optical character recognition (OCR) is a "solved problem," many categories of documents continue to break modern OCR software such as docu...
183
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
Although semi-supervised learning has been an active area of research, its use in deployed applications is still relatively rare because the methods are often difficult to impleme...
171
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ICML
2001
IEEE
16 years 7 months ago
2001
IEEE
Hierarchical reinforcement learning (RL) is a general framework which studies how to exploit the structure of actions and tasks to accelerate policy learning in large domains. Pri...