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CVPR
2007
IEEE
14 years 10 months ago
Learning the Compositional Nature of Visual Objects
The compositional nature of visual objects significantly limits their representation complexity and renders learning of structured object models tractable. Adopting this modeling ...
Björn Ommer, Joachim M. Buhmann
ICML
2003
IEEE
14 years 8 months ago
Exploration and Exploitation in Adaptive Filtering Based on Bayesian Active Learning
In the task of adaptive information filtering, a system receives a stream of documents but delivers only those that match a person's information need. As the system filters i...
Yi Zhang, Wei Xu, James P. Callan
BPM
2009
Springer
119views Business» more  BPM 2009»
14 years 2 months ago
A Formal Model for Process Context Learning
Process models are considered to be a major asset in modern business organizations. They are expected to apply to all the possible business contexts in which the process may be exe...
Johny Ghattas, Pnina Soffer, Mor Peleg
CBMS
2006
IEEE
14 years 2 months ago
Machine Learning Techniques to Enable Closed-Loop Control in Anesthesia
The growing availability of high throughput measurement devices in the operating room makes possible the collection of a huge amount of data about the state of the patient and the...
Olivier Caelen, Gianluca Bontempi, Eddy Coussaert,...
EVENT
2001
267views more  EVENT 2001»
13 years 9 months ago
View-Invariant Representation and Learning of Human Action
Automatically understanding human actions from video sequences is a very challenging problem. This involves the extraction of relevant visual information from a video sequence, re...
Cen Rao, Mubarak Shah