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ISVC
2007
Springer
15 years 8 months ago
Boosting with Temporal Consistent Learners: An Application to Human Activity Recognition
We present a novel boosting algorithm where temporal consistency is addressed in a short-term way. Although temporal correlation of observed data may be an important cue for classi...
Pedro Canotilho Ribeiro, Plinio Moreno, José...
119
Voted
ICCCN
2007
IEEE
15 years 2 months ago
Online Selection of Tracking Features using AdaBoost
In this paper, a novel feature selection algorithm for object tracking is proposed. This algorithm performs more robust than the previous works by taking the correlation between f...
Ying-Jia Yeh, Chiou-Ting Hsu
PARELEC
2002
IEEE
15 years 7 months ago
Boosting the Performance of Electromagnetic Simulations on a PC-Cluster
One of the crucial aspects in the design process of high voltage apparatus is the precise simulation of the electrostatic and/or electromagnetic £eld distribution in three dimens...
Carsten Trinitis, Martin Schulz, Wolfgang Karl
MCS
2002
Springer
15 years 1 months ago
Distributed Pasting of Small Votes
Bagging and boosting are two popular ensemble methods that achieve better accuracy than a single classifier. These techniques have limitations on massive datasets, as the size of t...
Nitesh V. Chawla, Lawrence O. Hall, Kevin W. Bowye...
121
Voted
ECIR
2003
Springer
15 years 3 months ago
Discretizing Continuous Attributes in AdaBoost for Text Categorization
Abstract. We focus on two recently proposed algorithms in the family of “boosting”-based learners for automated text classification, AdaBoost.MH and AdaBoost.MHKR . While the ...
Pio Nardiello, Fabrizio Sebastiani, Alessandro Spe...