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» Adapting Visual Category Models to New Domains
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SIGIR
2008
ACM
14 years 9 months ago
Learning from labeled features using generalized expectation criteria
It is difficult to apply machine learning to new domains because often we lack labeled problem instances. In this paper, we provide a solution to this problem that leverages domai...
Gregory Druck, Gideon S. Mann, Andrew McCallum
KDD
2009
ACM
219views Data Mining» more  KDD 2009»
15 years 10 months ago
Structured correspondence topic models for mining captioned figures in biological literature
A major source of information (often the most crucial and informative part) in scholarly articles from scientific journals, proceedings and books are the figures that directly pro...
Amr Ahmed, Eric P. Xing, William W. Cohen, Robert ...
ATAL
2008
Springer
14 years 12 months ago
A model of gaze for the purpose of emotional expression in virtual embodied agents
Currently, state of the art virtual agents lack the ability to display emotion as seen in actual humans, or even in hand-animated characters. One reason for the emotional inexpres...
Brent J. Lance, Stacy Marsella
VISUALIZATION
1998
IEEE
15 years 2 months ago
A general method for preserving attribute values on simplified meshes
Many sophisticated solutions have been proposed to reduce the geometric complexity of 3D meshes. A less studied problem is how to preserve on a simplified mesh the detail (e.g. co...
Paolo Cignoni, Claudio Montani, Roberto Scopigno, ...
ICTAI
2009
IEEE
15 years 4 months ago
Change Tracer: Tracking Changes in Web Ontologies
Knowledge constantly grows in scientific discourse and is revised over time by domain experts. The body of knowledge will get structured and refined as the Communities of Practice...
Asad Masood Khattak, Khalid Latif, Manhyung Han, S...