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ECCV
2004
Springer
16 years 3 months ago
A Boosted Particle Filter: Multitarget Detection and Tracking
The problem of tracking a varying number of non-rigid objects has two major difficulties. First, the observation models and target distributions can be highly non-linear and non-Ga...
Kenji Okuma, Ali Taleghani, Nando de Freitas, Jame...
PAKDD
2001
ACM
104views Data Mining» more  PAKDD 2001»
15 years 6 months ago
Optimizing the Induction of Alternating Decision Trees
The alternating decision tree brings comprehensibility to the performance enhancing capabilities of boosting. A single interpretable tree is induced wherein knowledge is distribute...
Bernhard Pfahringer, Geoffrey Holmes, Richard Kirk...
PPOPP
2009
ACM
15 years 6 months ago
Turbocharging boosted transactions or: how i learnt to stop worrying and love longer transactions
Boosted transactions offer an attractive method that enables programmers to create larger transactions that scale well and offer deadlock-free guarantees. However, as boosted tran...
Chinmay Eishan Kulkarni, Osman S. Unsal, Adri&aacu...
ICML
2005
IEEE
16 years 2 months ago
A smoothed boosting algorithm using probabilistic output codes
AdaBoost.OC has shown to be an effective method in boosting "weak" binary classifiers for multi-class learning. It employs the Error Correcting Output Code (ECOC) method...
Rong Jin, Jian Zhang
PR
2006
108views more  PR 2006»
15 years 1 months ago
Boosted discriminant projections for nearest neighbor classification
In this paper we introduce a new embedding technique to find the linear projection that best projects labeled data samples into a new space where the performance of a Nearest Neig...
David Masip, Jordi Vitrià