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Conference Papers Year : 2010

Interactive Learning of Heterogeneous Visual Concepts with Local Features

Abstract

In the context of computer-assisted plant identification we are facing challenging information retrieval problems because of the very high within-class variability and of the limited number of training examples. To address these problems, we suggest a new interactive learning approach that combines similarity-based retrieval and re-ranking by SVM using local feature distributions. This approach leads to improved sample selection, allowing to obtain better results.
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Dates and versions

hal-01126108 , version 1 (06-03-2015)

Identifiers

  • HAL Id : hal-01126108 , version 1

Cite

Wajih Ouertani, Michel Crucianu, Nozha Boujemaa. Interactive Learning of Heterogeneous Visual Concepts with Local Features. ACM Multimedia 2010 (short paper), Nov 2010, Florence, Italy. pp.995-998. ⟨hal-01126108⟩
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