Object classification by fusing SVMs and Gaussian mixtures

DOI10.1016/J.PATCOG.2010.02.002zbMath1214.68315OpenAlexW2121774207MaRDI QIDQ969091

Thomas Deselaers, Hermann Ney, Georg Heigold

Publication date: 11 May 2010

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2010.02.002

zbMATH Keywords

Gaussian mixturessupport vector machinediscriminative classifiersgenerative classifierslocal-feature-based object recognition

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

Related Items (3)

PMSVM: an optimized support vector machine classification algorithm based on PCA and multilevel grid search methods ⋮ Bayesian hybrid generative discriminative learning based on finite Liouville mixture models ⋮ Object classification by fusing SVMs and Gaussian mixtures

Uses Software

• UCI-ml
• LIBSVM
• SIFT
• PASCAL VOC

Cites Work

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• Learning mixture models with support vector machines for sequence classification and segmentation
• Object classification by fusing SVMs and Gaussian mixtures
• Generative models for similarity-based classification

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