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ESANN
2006
15 years 7 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...
ICIP
2003
IEEE
16 years 8 months ago
Classification-based spatial error concealment for images
* This paper presents a new, classification-based spatial error concealment algorithm for images. The proposed scheme takes advantage of two state-of-the-art concealment schemes an...
M. Chen, M. Wu, Y. Zheng
MCS
2010
Springer
16 years 1 months ago
Class-Separability Weighting and Bootstrapping in Error Correcting Output Code Ensembles
A method for applying weighted decoding to error-correcting output code ensembles of binary classifiers is presented. This method is sensitive to the target class in that a separa...
Raymond S. Smith, Terry Windeatt
ICRA
2008
IEEE
170views Robotics» more  ICRA 2008»
16 years 24 days ago
Modeling and recognition of actions through motor primitives
— We investigate modeling and recognition of object manipulation actions for the purpose of imitation based learning in robotics. To model the process, we are using a combination...
David Martínez Mercado, Danica Kragic
ICASSP
2007
IEEE
16 years 21 days ago
Importance of Feature Locations in Bag-of-Words Image Classification
The impact of image feature locations in the bag-of-words model for object classification is examined. It is demonstrated that a simple variance-based method works well and offer...
Nevena Lazic, Parham Aarabi