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» Boosting Object Detection Using Feature Selection
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AVSS
2008
IEEE
14 years 1 months ago
Recognizing Shapes in Video Sequences Using Multi-class Boosting
We model the spatio-temporal variations of the shape of objects in a video sequence using a unique SVD-like decomposition. The decomposition is used to compute shape features, whi...
Naresh P. Cuntoor, Matt Welborn
ICCV
2005
IEEE
14 years 29 days ago
TemporalBoost for Event Recognition
This paper contributes a new boosting paradigm to achieve detection of events in video. Previous boosting paradigms in vision focus on single frame detection and do not scale to v...
Paul Smith, Niels da Vitoria Lobo, Mubarak Shah
ESANN
2006
13 years 8 months ago
Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
Long Han, Mark J. Embrechts, Boleslaw K. Szymanski...
ISBI
2009
IEEE
14 years 2 months ago
Automatic Markup of Neural Cell Membranes Using Boosted Decision Stumps
To better understand the central nervous system, neurobiologists need to reconstruct the underlying neural circuitry from electron microscopy images. One of the necessary tasks is...
Kannan Umadevi Venkataraju, António R. C. P...