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AIME
1997
Springer
13 years 12 months ago
Detecting Very Early Stages of Dementia from Normal Aging with Machine Learning Methods
We used Machine Learning (ML) methods to learn the best decision rules to distinguish normal brain aging from the earliest stages of dementia using subsamples of 198 normal and 244...
William Rodman Shankle, Subramani Mani, Michael J....
CVPR
2008
IEEE
14 years 9 months ago
Semi-supervised boosting using visual similarity learning
The required amount of labeled training data for object detection and classification is a major drawback of current methods. Combining labeled and unlabeled data via semisupervise...
Christian Leistner, Helmut Grabner, Horst Bischof
WACV
2005
IEEE
14 years 1 months ago
Learning the Behavior of Users in a Public Space through Video Tracking
The paper describes a video tracking system that tracks and analyzes the behavioral pattern of users in a public space. We have obtained important statistical measurements about u...
Wei Yan, David A. Forsyth
SSWMC
2004
13 years 9 months ago
Towards fraud-proof ID documents using multiple data hiding technologies and biometrics
Identity documents, such as ID cards, passports, and driver's licenses, contain textual information, a portrait of the legitimate holder, and eventually some other biometric ...
Justin Picard, Claus Vielhauer, Niels J. Thorwirth
COMAD
2009
13 years 8 months ago
When to Trigger Active Rules?
Active rules model and enforce enterprise requirements such as situation monitoring using events, conditions and actions. These rules are termed active rules as they make the unde...
Raman Adaikkalavan, Sharma Chakravarthy