Feature combination using boosting
- 15 October 2005
- journal article
- research article
- Published by Elsevier BV in Pattern Recognition Letters
- Vol. 26 (14), 2195-2205
- https://doi.org/10.1016/j.patrec.2005.03.029
Abstract
No abstract availableKeywords
This publication has 14 references indexed in Scilit:
- Information fusion for text classification — an experimental comparisonPattern Recognition, 2001
- Segmentation based on fusion of range and intensity images using robust trimmed methodsPattern Recognition, 2001
- Feature-level and decision-level fusion of noncoincidently sampled sensors for land mine detectionIEEE Transactions on Pattern Analysis and Machine Intelligence, 2001
- Additive logistic regression: a statistical view of boosting (With discussion and a rejoinder by the authors)The Annals of Statistics, 2000
- A method of combining multiple probabilistic classifiers through soft competition on different feature setsNeurocomputing, 1998
- On combining classifiersIeee Transactions On Pattern Analysis and Machine Intelligence, 1998
- A Decision-Theoretic Generalization of On-Line Learning and an Application to BoostingJournal of Computer and System Sciences, 1997
- Hierarchical Mixtures of Experts and the EM AlgorithmNeural Computation, 1994
- Decision combination in multiple classifier systemsIEEE Transactions on Pattern Analysis and Machine Intelligence, 1994
- The strength of weak learnabilityMachine Learning, 1990