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» Using a Non-prior Training Active Feature Model
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ICCV
2005
IEEE
16 years 6 months ago
Building a Classification Cascade for Visual Identification from One Example
Object identification (OID) is specialized recognition where the category is known (e.g. cars) and the algorithm recognizes an object's exact identity (e.g. Bob's BMW). ...
Andras Ferencz, Erik G. Learned-Miller, Jitendra M...
ICPR
2008
IEEE
16 years 5 months ago
Weakly supervised learning using proportion-based information: An application to fisheries acoustics
This paper addresses the inference of probabilistic classification models using weakly supervised learning. In contrast to previous work, the use of proportion-based training data...
Carla Scalarin, Jacques Masse, Jean-Marc Boucher, ...
ICCV
2005
IEEE
16 years 6 months ago
Active Search for Real-Time Vision
In most cases when information is to be extracted from an image, there are priors available on the state of the world and therefore on the detailed measurements which will be obta...
Andrew J. Davison
ICML
2010
IEEE
15 years 4 months ago
Application of Machine Learning To Epileptic Seizure Detection
We present and evaluate a machine learning approach to constructing patient-specific classifiers that detect the onset of an epileptic seizure through analysis of the scalp EEG, a...
Ali H. Shoeb, John V. Guttag
ICPR
2008
IEEE
15 years 10 months ago
Intuitive event modeling for personalized behavior monitoring
Behavior understanding and semantic interpretation of dynamic visual scenes have attracted a lot of attention in computer vision research community. Although the use of surveillan...
Ahmed Azough, Alexandre Delteil, Fabien De Marchi,...