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Learning / Machine learning / Ensemble learning / Support vector machine / AdaBoost / Levenshtein distance / Linear classifier / Statistics / Statistical classification / Artificial intelligence


Domain Adaptation with Good Edit Similarities: a Sparse Way to deal with Scaling and Rotation Problems in Image Classification Amaury Habrard University of Aix-Marseille Laboratoire d’Informatique Fondamentale UMR CNRS
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Document Date: 2011-11-16 02:20:36


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Company

Scaling / Domain Adaptation In / Rotation Problems / /

Currency

pence / /

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Facility

National Institute of Standards and Technology / Marc Sebban University of Saint-Etienne Laboratoire Hubert Curien UMR CNRS / Image Classification Amaury Habrard University of Aix-Marseille Laboratoire d’Informatique Fondamentale UMR CNRS / /

IndustryTerm

recent practical solutions / real-life applications / adaptation algorithms / image processing / speech processing / nice solution / principle in our algorithm / domain adaptation algorithm / learning algorithm / costly learning algorithm / /

OperatingSystem

Aix / /

Organization

National Institute of Standards and Technology / Assoc. for Computational Linguistics and Human Language Technology / Assoc for Computational Linguistics / Marc Sebban University of Saint-Etienne Laboratoire Hubert Curien UMR CNRS / Image Classification Amaury Habrard University of Aix-Marseille Laboratoire d’Informatique Fondamentale UMR CNRS / Pattern Analysis and Machine Intelligence / /

Person

Etienne Laboratoire Hubert Curien / Jean-Philippe Peyrache / /

Position

author / representative / /

Product

Altec XT1 Speakers / /

ProgrammingLanguage

L / T / /

PublishedMedium

IEEE Transactions on Pattern Analysis and Machine Intelligence / Computational Linguistics / Machine Learning / Journal of Machine Learning Research / /

Technology

majority algorithm / OOST algorithm / adaptation algorithms / SVM algorithm / costly learning algorithm / machine learning / Edit Similarity Functions algorithm / image processing / domain adaptation algorithm / /

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