Active Learning with Ensembles for Image Classification

Abstract

In many real-world tasks of image classification, limited amounts of labeled data are available to train automatic classifiers. Consequently, extensive human expert involvement is required for verification. A novel solution is presented that makes use of active learning combined with an ensemble of classifiers for each class. The result is a significant reduction in required expert involvement for uncertain image region classification.

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Fast algorithms for mining association rules

  • Agrawal, R Srikant, R Agrawal, Srikant
  • 1994
1 Excerpt