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» Learning Algorithms for Domain Adaptation
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SOCA
2007
IEEE
15 years 6 months ago
Context-aware Process Support through Automatic Selection and Invocation of Semantic Web Services
Current technologies aimed at supporting processes – whether it is a business process or a learning process – are usually based on using a dedicated set of metadata to describ...
Stefan Dietze, Alessio Gugliotta, John Domingue
JCDL
2003
ACM
160views Education» more  JCDL 2003»
15 years 5 months ago
Automatic Document Metadata Extraction Using Support Vector Machines
Automatic metadata generation provides scalability and usability for digital libraries and their collections. Machine learning methods offer robust and adaptable automatic metadat...
Hui Han, C. Lee Giles, Eren Manavoglu, Hongyuan Zh...
ECCV
2010
Springer
15 years 5 months ago
Human Attributes from 3D Pose Tracking
We show that, from the output of a simple 3D human pose tracker one can infer physical attributes (e.g., gender and weight) and aspects of mental state (e.g., happiness or sadness)...
ATAL
2006
Springer
15 years 4 months ago
Action awareness: enabling agents to optimize, transform, and coordinate plans
As agent systems are solving more and more complex tasks in increasingly challenging domains, the systems themselves are becoming more complex too, often compromising their adapti...
Freek Stulp, Michael Beetz
116
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HCI
2009
14 years 10 months ago
Seeing the World through an Expert's Eyes: Context-Aware Display as a Training Companion
Responsive Adaptive Display Anticipates Requests (RADAR) is a domain general system that learns to highlight an individual's preferred information displays, given the current ...
Marc T. Tomlinson, Michael Howe, Bradley C. Love